Triple

T33202365
Position Surface form Disambiguated ID Type / Status
Subject Tanha Tanha E849934 entity
Predicate featuredPerformerOnScreen P152890 FINISHED
Object Urmila Matondkar NE NERFINISHED

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: Urmila Matondkar | Statement: [Tanha Tanha, featuredPerformerOnScreen, Urmila Matondkar]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: featuredPerformerOnScreen
Context triple: [Tanha Tanha, featuredPerformerOnScreen, Urmila Matondkar]
  • A. featuresOnScreenPerformer chosen
    Indicates that something (such as a work or production) includes a particular performer visibly appearing on screen.
  • B. featuresPerformerCameo
    Indicates that the subject includes a brief, special appearance by a performer who is not part of the main cast or lineup.
  • C. performerInShow
    Indicates that an entity participates as a performer in a particular show or performance.
  • D. performerOn
    Indicates that an entity serves as the performer or executing agent of an action, event, or work associated with another entity.
  • E. featuredArtistLiveVersion
    Indicates that an artist is the prominently credited performer on a live-recorded version of a work.
  • 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_69f3495efedc8190843a5728089544b9 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_6a0174e8b5b481908bf0c6d3d5b0f3b6 completed May 11, 2026, 6:19 a.m.
PD Predicate disambiguation batch_6a01748d65248190ac3d9adfa9d0b274 completed May 11, 2026, 6:17 a.m.
Created at: May 1, 2026, 1:30 a.m.