Triple
T14700064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bonhomme Richard |
E345270
|
entity |
| Predicate | victoryClaim |
P6374
|
FINISHED |
| Object | captured HMS Serapis despite being heavily damaged |
—
|
LITERAL FINISHED |
How this triple was built (2 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: captured HMS Serapis despite being heavily damaged | Statement: [Bonhomme Richard, victoryClaim, captured HMS Serapis despite being heavily damaged]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: victoryClaim Context triple: [Bonhomme Richard, victoryClaim, captured HMS Serapis despite being heavily damaged]
-
A.
victoryIn
Indicates that one entity achieves a win or success in a specific contest, event, or competitive context involving another entity.
-
B.
victoryTarget
Indicates that one entity is the intended opponent, objective, or condition that must be overcome or achieved for the other entity to attain victory.
-
C.
typeOfVictory
chosen
Indicates the specific manner or category in which a victory was achieved.
-
D.
victoryLocation
Indicates the place or setting where a victory or triumph occurs.
-
E.
challengesClaim
Indicates that one entity disputes, questions, or opposes the validity or correctness of another entity’s claim.
- F. None of above.
Provenance (3 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_69d822e4a8c08190a155df736bb7bc13 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb605f5948190ab6b20887c4b6833 |
completed | April 14, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69de657c57ec8190ae0b9bb79a514566 |
completed | April 14, 2026, 4:04 p.m. |
Created at: April 10, 2026, 1:28 a.m.