Triple
T5945605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HMS Temeraire |
E132270
|
entity |
| Predicate | captain |
P884
|
FINISHED |
| Object | Eliab Harvey |
E170262
|
NE 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: Eliab Harvey | Statement: [HMS Temeraire, captain, Eliab Harvey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eliab Harvey Context triple: [HMS Temeraire, captain, Eliab Harvey]
-
A.
Eliab Harvey
chosen
Eliab Harvey was an English naval officer and politician best known for commanding HMS Temeraire at the Battle of Trafalgar.
-
B.
Benjamin Webster
Benjamin Webster was a prominent 19th-century English actor-manager and theatre proprietor known for his influential role in London's West End stage.
-
C.
Ephraim Hart
Ephraim Hart was an early American merchant and broker who was among the founders of what became the New York Stock Exchange.
-
D.
Jedediah Purdy
Jedediah Purdy is an American legal scholar and writer known for his work on democracy, environmental politics, and political economy.
-
E.
Samuel Holden
Samuel Holden was an influential 18th-century British politician and merchant whose prominence and philanthropy led to institutions such as Holden Chapel being named in his honor.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c00869d3308190af89b2453e0f7546 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c0393a10448190b0960f4487e87448 |
completed | March 22, 2026, 6:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0e3bd196081908361a38ca17309c6 |
completed | March 23, 2026, 6:54 a.m. |
Created at: March 22, 2026, 4:01 p.m.