Triple
T27166435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Filmfare Award for Best Male Debut |
E682791
|
entity |
| Predicate | awardSeriesStartDecade |
P106452
|
FINISHED |
| Object | 1980s |
—
|
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: 1980s | Statement: [Filmfare Award for Best Male Debut, awardSeriesStartDecade, 1980s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardSeriesStartDecade Context triple: [Filmfare Award for Best Male Debut, awardSeriesStartDecade, 1980s]
-
A.
awardDecade
chosen
Indicates the decade during which an award was given or is associated with.
-
B.
releasedInDecade
Indicates that an item (such as a work, product, or event) was released during a specified ten-year time period.
-
C.
airingDecadeOfWork
Indicates the decade during which a work (such as a show or series) was originally broadcast or aired.
-
D.
endedInDecade
Indicates that an event, process, or state concluded during a specified decade.
-
E.
developmentStartDecade
Indicates the decade during which the development or creation of an entity was initiated.
- 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_69eefacf6e788190a75a64399d9e3109 |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f6c1265c208190aacd2b551f8f0f82 |
completed | May 3, 2026, 3:29 a.m. |
| PD | Predicate disambiguation | batch_69f6bd2415fc81908c23c311aebce66f |
completed | May 3, 2026, 3:12 a.m. |
Created at: April 27, 2026, 9:21 a.m.