Triple
T198071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 85th Academy Awards |
E4040
|
entity |
| Predicate | mostNominationsCount |
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: [85th Academy Awards, mostNominationsCount, 12]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mostNominationsCount Context triple: [85th Academy Awards, mostNominationsCount, 12]
-
A.
academyAwardNominations
Indicates that an entity has received one or more nominations for an Academy Award (Oscars).
-
B.
numberOfAwards
Indicates the total count of awards that have been received by an entity.
-
C.
nominationsFrom
Indicates that one entity has put forward or proposed another entity as a candidate for a position, award, or recognition.
-
D.
nominated
Indicates that one entity formally proposes or selects another entity for a position, role, award, or recognition.
-
E.
maximumNumberOfLaureatesPerYear
Indicates the highest allowable or observed count of laureates associated with a given year.
- F. None of above. chosen
Provenance (4 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_69a254bca59881909a15e1496f1508c7 |
completed | Feb. 28, 2026, 2:36 a.m. |
| NER | Named-entity recognition | batch_69a25be47ea881909c296b30a0d47a65 |
completed | Feb. 28, 2026, 3:07 a.m. |
| PD | Predicate disambiguation | batch_69a25b47481c8190add47c641c977bb9 |
completed | Feb. 28, 2026, 3:04 a.m. |
| PDg | Predicate description generation | batch_69a25be349588190aedde33d80682344 |
completed | Feb. 28, 2026, 3:07 a.m. |
Created at: Feb. 28, 2026, 2:44 a.m.