Triple
T14879312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Craig T. Nelson as Hayden Fox |
E349954
|
entity |
| Predicate | awardRecognitionYearForActor |
P2671
|
FINISHED |
| Object | 1992 |
—
|
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: 1992 | Statement: [Craig T. Nelson as Hayden Fox, awardRecognitionYearForActor, 1992]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardRecognitionYearForActor Context triple: [Craig T. Nelson as Hayden Fox, awardRecognitionYearForActor, 1992]
-
A.
AcademyAwardsYear
Indicates the specific year in which the referenced Academy Awards event took place.
-
B.
awardReceivedYear
chosen
Indicates the specific year in which an entity received a particular award.
-
C.
awardNominationYear
Indicates the year in which an entity received a nomination for an award.
-
D.
awardedForYearOfRelease
Indicates that an award is given in recognition of a work based on the year in which that work was released.
-
E.
yearOfNotableSpeech
Indicates the specific year in which an entity delivered a notable or significant speech.
- 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_69d822ee4f408190b6ac3b2fa434f0df |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded5e622388190b2bf91cd10b9821d |
completed | April 15, 2026, 12:03 a.m. |
| PD | Predicate disambiguation | batch_69de8c1a2bcc81908f914e2e2ced65eb |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:55 a.m.