Triple
T37106967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Academy Award for Best Supporting Actor for "Moonstruck" |
E918867
|
entity |
| Predicate | winnerInCategoryAtCeremony |
P37391
|
FINISHED |
| Object | Sean Connery |
—
|
NE NERFINISHED |
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: Sean Connery | Statement: [Academy Award for Best Supporting Actor for "Moonstruck", winnerInCategoryAtCeremony, Sean Connery]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: winnerInCategoryAtCeremony Context triple: [Academy Award for Best Supporting Actor for "Moonstruck", winnerInCategoryAtCeremony, Sean Connery]
-
A.
oscarCategoryWon
chosen
Indicates that an entity has won an Academy Award in the specified Oscar category.
-
B.
emmyCategoryWon
Indicates that an entity has won an Emmy award in a specified category.
-
C.
awardsCeremony
Indicates that an event is a formal occasion where awards or honors are presented to recipients.
-
D.
baftaCategory
Indicates the specific BAFTA award category in which an entity (such as a film, show, or person) is nominated or recognized.
-
E.
yearOfAwardCeremony
Indicates the specific year in which an award ceremony took place.
- 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_69f76e9b99c8819096164b21ff5bd996 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fd09840ea88190a2e6d7e577ade717 |
completed | May 7, 2026, 9:52 p.m. |
| PD | Predicate disambiguation | batch_69fd064c49988190afadddbd04d7cb94 |
completed | May 7, 2026, 9:38 p.m. |
Created at: May 3, 2026, 4:14 p.m.