Triple
T8161778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Golden Goblet Award for Best Screenplay |
E190591
|
entity |
| Predicate | awardedAtFrequency |
P2205
|
FINISHED |
| Object | annually |
—
|
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: annually | Statement: [Golden Goblet Award for Best Screenplay, awardedAtFrequency, annually]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardedAtFrequency Context triple: [Golden Goblet Award for Best Screenplay, awardedAtFrequency, annually]
-
A.
awardedFrequency
chosen
Indicates how often an award or recognition is given within a specified time period.
-
B.
awardedSince
Indicates that an entity has been receiving a particular award continuously from a specified starting time onward.
-
C.
awardedDuring
Indicates that an award or honor was given to an entity within a specified time period or event.
-
D.
awardedWhen
Indicates the time or condition under which an award or recognition is given to an entity.
-
E.
awardedDate
Indicates the date on which an award, prize, or honor was formally given to an entity.
- 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_69ca82c0ef14819083713f4473dd847c |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4556b45c819089eb15ad027b036a |
completed | March 31, 2026, 3:53 a.m. |
| PD | Predicate disambiguation | batch_69cb36a4c40c81909f60aef0e1624c13 |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:38 p.m.