Triple
T27166432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Filmfare Award for Best Male Debut |
E682791
|
entity |
| Predicate | typicalTrophy |
P162702
|
FINISHED |
| Object | black lady statuette |
—
|
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: black lady statuette | Statement: [Filmfare Award for Best Male Debut, typicalTrophy, black lady statuette]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalTrophy Context triple: [Filmfare Award for Best Male Debut, typicalTrophy, black lady statuette]
-
A.
trophy
Indicates that one entity is a trophy awarded or possessed in relation to another entity, typically as a result of winning or achieving something.
-
B.
vareTrophy
chosen
Indicates that one entity serves as a trophy or prize possessed, awarded, or displayed by another entity.
-
C.
typicalAwardedBy
Indicates the usual or standard agent (such as a person or organization) that confers or grants a particular award.
-
D.
commemorativeTrophy
Indicates that a trophy exists to honor or memorialize a particular person, event, or achievement.
-
E.
typicalAwardType
Indicates the usual or most common type or category of award associated with a given entity or context.
- 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_69ff9361943c81909544203cbc998a69 |
completed | May 9, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69ff913138a08190b59bdc9d8d199eb3 |
completed | May 9, 2026, 7:55 p.m. |
Created at: April 27, 2026, 9:21 a.m.