Triple
T10188196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | German Naval Laws |
E236964
|
entity |
| Predicate | strategicDoctrine |
P11476
|
FINISHED |
| Object |
Tirpitz risk theory
Tirpitz risk theory was a pre–World War I German naval strategy asserting that building a powerful battle fleet would deter Britain by making any conflict at sea too risky for the Royal Navy.
|
E846710
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Tirpitz risk theory | Statement: [German Naval Laws, strategicDoctrine, Tirpitz risk theory]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tirpitz risk theory Context triple: [German Naval Laws, strategicDoctrine, Tirpitz risk theory]
-
A.
Lanchester’s laws of combat
Lanchester’s laws of combat are mathematical models that describe how the fighting strength of opposing military forces changes over time, particularly highlighting how numerical superiority and weapon effectiveness influence battle outcomes.
-
B.
The Theory of Probability
The Theory of Probability is Hans Reichenbach’s influential philosophical and mathematical treatise that helped establish a rigorous, frequency-based interpretation of probability within the logical empiricist tradition.
-
C.
Law of the Maximum
The Law of the Maximum was a French Revolutionary price-control measure that fixed maximum prices on essential goods to curb inflation and protect the urban poor.
-
D.
Modern Probability Theory and Its Applications
"Modern Probability Theory and Its Applications" is a foundational textbook by Emanuel Parzen that systematically develops modern probability theory and demonstrates its use in a wide range of statistical and applied contexts.
-
E.
The Emergence of Probability
The Emergence of Probability is a seminal philosophical and historical study by Ian Hacking that traces how modern concepts of probability and statistical reasoning developed from the 16th to the 19th century.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Tirpitz risk theory Triple: [German Naval Laws, strategicDoctrine, Tirpitz risk theory]
Generated description
Tirpitz risk theory was a pre–World War I German naval strategy asserting that building a powerful battle fleet would deter Britain by making any conflict at sea too risky for the Royal Navy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tirpitz risk theory Target entity description: Tirpitz risk theory was a pre–World War I German naval strategy asserting that building a powerful battle fleet would deter Britain by making any conflict at sea too risky for the Royal Navy.
-
A.
Lanchester’s laws of combat
Lanchester’s laws of combat are mathematical models that describe how the fighting strength of opposing military forces changes over time, particularly highlighting how numerical superiority and weapon effectiveness influence battle outcomes.
-
B.
The Theory of Probability
The Theory of Probability is Hans Reichenbach’s influential philosophical and mathematical treatise that helped establish a rigorous, frequency-based interpretation of probability within the logical empiricist tradition.
-
C.
Law of the Maximum
The Law of the Maximum was a French Revolutionary price-control measure that fixed maximum prices on essential goods to curb inflation and protect the urban poor.
-
D.
Modern Probability Theory and Its Applications
"Modern Probability Theory and Its Applications" is a foundational textbook by Emanuel Parzen that systematically develops modern probability theory and demonstrates its use in a wide range of statistical and applied contexts.
-
E.
The Emergence of Probability
The Emergence of Probability is a seminal philosophical and historical study by Ian Hacking that traces how modern concepts of probability and statistical reasoning developed from the 16th to the 19th century.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca84d7260c8190bfbec36762943f37 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cded7a7aac8190af8dcb8374e62d68 |
completed | April 2, 2026, 4:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d317b734a4819085645caea8ba0481 |
completed | April 6, 2026, 2:17 a.m. |
| NEDg | Description generation | batch_69d319937ec08190bf5442a7e3a9ba9f |
completed | April 6, 2026, 2:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d31a39d73481908cf5713205f910fb |
completed | April 6, 2026, 2:28 a.m. |
Created at: March 30, 2026, 9:12 p.m.