Triple
T11471839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beard |
E271926
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | James Beard |
E87621
|
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: James Beard | Statement: [Beard, hasNotableBearer, James Beard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: James Beard Context triple: [Beard, hasNotableBearer, James Beard]
-
A.
James Beard
chosen
James Beard was a pioneering American chef, cookbook author, and television personality often called the "Dean of American cookery."
-
B.
Michael Lyon
Michael Lyon is an Australian local government politician who serves as the mayor of Byron Shire in New South Wales.
-
C.
James Ritz
James Ritz is a screenwriter best known for co-writing the 1977 action-comedy film "Grand Theft Auto," one of Ron Howard’s early directing projects.
-
D.
Bob Hartley
Bob Hartley is a Canadian professional ice hockey coach best known for leading the Colorado Avalanche to a Stanley Cup championship and later coaching several NHL teams, including the Atlanta Thrashers and Calgary Flames.
-
E.
Hugh Johnson
Hugh Johnson is a British cinematographer and film director known for his visually striking work on major feature films.
- 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_69d6aae0c8d881908a5a360c0be3242e |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d82949e3688190b024a4980666c94f |
completed | April 9, 2026, 10:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5e95a479c81909a330c9721bd3902 |
completed | April 20, 2026, 8:52 a.m. |
Created at: April 8, 2026, 9:35 p.m.