Triple
T15366720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John B. Jervis |
E367433
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
John
John is the given name of John B. Jervis, a prominent 19th-century American civil engineer known for his work on canals, railroads, and water supply systems.
|
E1154535
|
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: John | Statement: [John B. Jervis, givenName, John]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Context triple: [John B. Jervis, givenName, John]
-
A.
John
John is the given first name of Johnny Kilbane, an American featherweight boxing champion from the early 20th century.
-
B.
John
John is the given name of John Albert William Spencer-Churchill, a British aristocrat and 10th Duke of Marlborough.
-
C.
John
John is the given first name of the 19th-century English theologian and social reformer Frederick Denison Maurice.
-
D.
John
John is the given name of John Eales, the renowned former Australian rugby union captain and World Cup winner.
-
E.
John
John is the given name of Sir John Lennard-Jones, a pioneering British theoretical chemist known for his work on intermolecular forces and the Lennard-Jones potential.
- 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: John Triple: [John B. Jervis, givenName, John]
Generated description
John is the given name of John B. Jervis, a prominent 19th-century American civil engineer known for his work on canals, railroads, and water supply systems.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: John Target entity description: John is the given name of John B. Jervis, a prominent 19th-century American civil engineer known for his work on canals, railroads, and water supply systems.
-
A.
John
John is the given name of John Rennie the Younger, a prominent 19th-century British civil engineer known for designing notable bridges and docks.
-
B.
John
John is the given name of Sir John Fowler, a prominent 19th-century British civil engineer known for major railway and bridge projects such as the Forth Bridge.
-
C.
John
John is the given name of John A. Roebling II, an American civil engineer and philanthropist from the prominent Roebling family associated with major bridge construction.
-
D.
John
John is the given name of John Frank Stevens, the American civil engineer best known for his pivotal role in the construction of the Panama Canal.
-
E.
John
John is the given name of John Egerton, 2nd Duke of Bridgewater, an 18th-century English nobleman known for pioneering canal construction during the Industrial Revolution.
- 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_69d85a1483788190ad93c2748e8af34b |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e4a7cdc8190b7b48c97e774c306 |
completed | April 16, 2026, 1:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff13457418819088232270b092c969 |
completed | May 9, 2026, 10:58 a.m. |
| NEDg | Description generation | batch_69ff142e99e081909d01cac0416f1bde |
completed | May 9, 2026, 11:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff14c61eb08190ba854b541eb1ce14 |
completed | May 9, 2026, 11:04 a.m. |
Created at: April 10, 2026, 3:18 a.m.