Triple
T672166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scientific and Technical Awards |
E12994
|
entity |
| Predicate | relationToAcademyAwards |
P219
|
FINISHED |
| Object | part of the overall Academy Awards honors |
—
|
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: part of the overall Academy Awards honors | Statement: [Scientific and Technical Awards, relationToAcademyAwards, part of the overall Academy Awards honors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationToAcademyAwards Context triple: [Scientific and Technical Awards, relationToAcademyAwards, part of the overall Academy Awards honors]
-
A.
relatedAward
chosen
Indicates that there is an award connected or associated with the subject entity, such as an honor, prize, or recognition related to it.
-
B.
academyAwardNominations
Indicates that an entity has received one or more nominations for an Academy Award (Oscars).
-
C.
hasAcademy
Indicates that an entity possesses, operates, or is formally associated with an academy as part of its structure or offerings.
-
D.
oscarAward
Indicates that an entity has received or been honored with an Academy Award (Oscar).
-
E.
mostAwardsFilm
Indicates that a film is the one that has received the highest number of awards within a given set or context.
- 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_69a493355dec819098d4244b2fa34885 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4a1b3682c8190a9b9a454480c3446 |
completed | March 1, 2026, 8:29 p.m. |
| PD | Predicate disambiguation | batch_69a49d1a16c48190af89e3b078a4957e |
completed | March 1, 2026, 8:10 p.m. |
Created at: March 1, 2026, 7:36 p.m.