Triple
T30524726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Academy Award for Best Actress (won by Jennifer Lawrence) |
E776799
|
entity |
| Predicate | awardedForYearOfFilms |
P177402
|
FINISHED |
| Object | 2012 |
—
|
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: 2012 | Statement: [Academy Award for Best Actress (won by Jennifer Lawrence), awardedForYearOfFilms, 2012]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardedForYearOfFilms Context triple: [Academy Award for Best Actress (won by Jennifer Lawrence), awardedForYearOfFilms, 2012]
-
A.
awardedForYearOfRelease
Indicates that an award is given in recognition of a work based on the year in which that work was released.
-
B.
returnedAwardYear
Indicates the year in which an award that had previously been given was returned or relinquished.
-
C.
eligibilityYearOfFilm
chosen
Indicates the specific year in which a film qualifies or is considered eligible for a particular award, category, or recognition.
-
D.
AcademyAwardsYear
Indicates the specific year in which the referenced Academy Awards event took place.
-
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_69f2249b23c4819087fa85496d92f43f |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f79f48acec8190a9d5964581a94f6c |
completed | May 3, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_69f79e4888248190be2f63cdfb5cd7b7 |
completed | May 3, 2026, 7:13 p.m. |
Created at: April 29, 2026, 8:17 p.m.