Triple
T542848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Golden Globe Award for Best Actor in a Motion Picture – Drama |
E12667
|
entity |
| Predicate | awardedForYearOfRelease |
P15480
|
FINISHED |
| Object | previous calendar year |
—
|
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: previous calendar year | Statement: [Golden Globe Award for Best Actor in a Motion Picture – Drama, awardedForYearOfRelease, previous calendar year]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardedForYearOfRelease Context triple: [Golden Globe Award for Best Actor in a Motion Picture – Drama, awardedForYearOfRelease, previous calendar year]
-
A.
awardReceivedYear
Indicates the specific year in which an entity received a particular award.
-
B.
goldenSpikesAwardYear
Indicates the year in which a Golden Spikes Award was given or associated with a particular recipient or event.
-
C.
oscarBestPictureYear
Indicates the year in which a given film received the Academy Award for Best Picture.
-
D.
awardGivenBy
Indicates that an award is conferred or presented by one entity to another.
-
E.
oscarAward
Indicates that an entity has received or been honored with an Academy Award (Oscar).
- 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_69a49334226c81908b0ea1689ef6aa3f |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4986250508190ac91cfdf7d57073d |
completed | March 1, 2026, 7:49 p.m. |
| PD | Predicate disambiguation | batch_69a494b8098481908097228db8ad0262 |
completed | March 1, 2026, 7:34 p.m. |
| PDg | Predicate description generation | batch_69a49858abd48190bd4b002a93e4a908 |
completed | March 1, 2026, 7:49 p.m. |
Created at: March 1, 2026, 7:32 p.m.