Triple
T28747682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Appaloosa |
E731421
|
entity |
| Predicate | yearOfAcademyAwardCeremonyForNomination |
P137792
|
FINISHED |
| Object | 1967 |
—
|
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: 1967 | Statement: [The Appaloosa, yearOfAcademyAwardCeremonyForNomination, 1967]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearOfAcademyAwardCeremonyForNomination Context triple: [The Appaloosa, yearOfAcademyAwardCeremonyForNomination, 1967]
-
A.
AcademyAwardsYear
Indicates the specific year in which the referenced Academy Awards event took place.
-
B.
yearOfAwardCeremony
chosen
Indicates the specific year in which an award ceremony took place.
-
C.
awardNominationYear
Indicates the year in which an entity received a nomination for an award.
-
D.
academyAwardsSubmissionYear
Indicates the year in which a work was officially submitted for consideration to the Academy Awards.
-
E.
releaseYearOfNominatedWork
Indicates the calendar year in which the work that received the nomination was originally released.
- 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_69f043ecb5c081909ec9da1172d68ece |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f7805ce6208190ac6dbd9c97989978 |
completed | May 3, 2026, 5:05 p.m. |
| PD | Predicate disambiguation | batch_69f77956ec648190ba4fb7e9d83fd107 |
completed | May 3, 2026, 4:35 p.m. |
Created at: April 28, 2026, 6:06 a.m.