Triple
T14172207
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mercenary War |
E351235
|
entity |
| Predicate | opposingCommander |
P1698
|
FINISHED |
| Object |
Mathos
Mathos was a military commander who led forces against the Carthaginians during the Mercenary War in the early 3rd century BCE.
|
E1084743
|
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: Mathos | Statement: [Mercenary War, opposingCommander, Mathos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mathos Context triple: [Mercenary War, opposingCommander, Mathos]
-
A.
Zelmo
Zelmo is a masculine given name most notably associated with American basketball Hall of Famer Zelmo Beaty.
-
B.
Mardian
Mardian is a minor eunuch and servant in William Shakespeare’s tragedy "Antony and Cleopatra," known for his loyalty to Cleopatra.
-
C.
Raynathan Skuggs
Raynathan Skuggs is the central protagonist of the crime drama film "Sugar Hill," around whom the story’s underworld conflicts and personal struggles revolve.
-
D.
Alvarus
Alvarus is a Latinized variant of the given name Alvar, historically used in medieval and ecclesiastical contexts.
-
E.
Celduin
Celduin, also known as the River Running, is a major river in J.R.R. Tolkien’s Middle-earth that flows from the Lonely Mountain (Erebor) through Mirkwood toward the Sea of Rhûn.
- 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: Mathos Triple: [Mercenary War, opposingCommander, Mathos]
Generated description
Mathos was a military commander who led forces against the Carthaginians during the Mercenary War in the early 3rd century BCE.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mathos Target entity description: Mathos was a military commander who led forces against the Carthaginians during the Mercenary War in the early 3rd century BCE.
-
A.
Zelmo
Zelmo is a masculine given name most notably associated with American basketball Hall of Famer Zelmo Beaty.
-
B.
Mardian
Mardian is a minor eunuch and servant in William Shakespeare’s tragedy "Antony and Cleopatra," known for his loyalty to Cleopatra.
-
C.
Raynathan Skuggs
Raynathan Skuggs is the central protagonist of the crime drama film "Sugar Hill," around whom the story’s underworld conflicts and personal struggles revolve.
-
D.
Alvarus
Alvarus is a Latinized variant of the given name Alvar, historically used in medieval and ecclesiastical contexts.
-
E.
Celduin
Celduin, also known as the River Running, is a major river in J.R.R. Tolkien’s Middle-earth that flows from the Lonely Mountain (Erebor) through Mirkwood toward the Sea of Rhûn.
- 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_69d8278834a08190b0f1784e58d7b99c |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61b5dcbc8190b0cfcce5e6c6d582 |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcf808e6088190a607903be0f2adc7 |
completed | May 7, 2026, 8:37 p.m. |
| NEDg | Description generation | batch_69fd09bad5b48190913aaba5dd2a509d |
completed | May 7, 2026, 9:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd0a7603848190a4b73971cb75f99e |
completed | May 7, 2026, 9:56 p.m. |
Created at: April 10, 2026, 1:01 a.m.