Triple
T27527076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Koshish |
E694863
|
entity |
| Predicate | leadActorPerformanceDescribedAs |
P163497
|
FINISHED |
| Object | powerful performance by Jaya Bhaduri |
—
|
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: powerful performance by Jaya Bhaduri | Statement: [Koshish, leadActorPerformanceDescribedAs, powerful performance by Jaya Bhaduri]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leadActorPerformanceDescribedAs Context triple: [Koshish, leadActorPerformanceDescribedAs, powerful performance by Jaya Bhaduri]
-
A.
leadActorRolePattern
Indicates a recurring or characteristic type of role that an actor typically plays as a leading performer in productions.
-
B.
originalLeadActorRole
Indicates the role originally played by a particular lead actor in a given production or work.
-
C.
replacesInLeadRole
Indicates that one entity takes over or substitutes for another entity in the primary or leading role within a given context or production.
-
D.
leadActorNominee
Indicates that an entity was nominated for a lead acting role in relation to a particular work or award.
-
E.
leadActorOfAdaptation
Indicates that a person is the main actor in a specific adaptation of a work (such as a film, series, or stage version).
- 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_69ef538550208190aa9de8e2cb260d93 |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f638d11c988190af7fd4572b08e038 |
completed | May 2, 2026, 5:48 p.m. |
| PD | Predicate disambiguation | batch_69f63709e4848190b5cf322e06b23fb6 |
completed | May 2, 2026, 5:40 p.m. |
| PDg | Predicate description generation | batch_69f638344b148190bf0414ef7c5f1f38 |
completed | May 2, 2026, 5:45 p.m. |
Created at: April 27, 2026, 1:24 p.m.