Triple
T2982131
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 15th Academy Awards |
E80535
|
entity |
| Predicate | mostNominatedFilmNominations |
P8123
|
FINISHED |
| Object | 12 |
—
|
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: 12 | Statement: [15th Academy Awards, mostNominatedFilmNominations, 12]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mostNominatedFilmNominations Context triple: [15th Academy Awards, mostNominatedFilmNominations, 12]
-
A.
mostNominationsFilm
Indicates that a film holds the highest number of nominations within a given set, context, or award event.
-
B.
mostNominationsCount
chosen
Indicates the highest number of nominations that any entity in the relevant set has received.
-
C.
mostAwardsFilm
Indicates that a film is the one that has received the highest number of awards within a given set or context.
-
D.
academyAwardNominations
Indicates that an entity has received one or more nominations for an Academy Award (Oscars).
-
E.
maximumNominationsPerFilm
Indicates the highest number of nominations that any single film is allowed to receive.
- 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_69ad8b15f6ac8190be5fd16a33edcb4f |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad99a1ed44819085ae6d39943db1d9 |
completed | March 8, 2026, 3:45 p.m. |
| PD | Predicate disambiguation | batch_69ad9611fc348190a5d17d237f653f60 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 2:58 p.m.