Triple

T11289327
Position Surface form Disambiguated ID Type / Status
Subject Ekta Kapoor E267282 entity
Predicate givenName P17 FINISHED
Object Ekta E267282 NE 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: Ekta | Statement: [Ekta Kapoor, givenName, Ekta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ekta
Context triple: [Ekta Kapoor, givenName, Ekta]
  • A. Ekta Kapoor chosen
    Ekta Kapoor is a prominent Indian television and film producer known for revolutionizing Hindi soap operas and co-founding Balaji Telefilms.
  • B. Aditi
    Aditi is a Vedic mother goddess in Hindu mythology, revered as the personification of boundlessness and the mother of many deities.
  • C. Bhumika
    Bhumika is a critically acclaimed 1977 Indian Hindi-language film directed by Shyam Benegal, known for its powerful portrayal of a woman's struggle for identity and autonomy.
  • D. Anshula Kapoor
    Anshula Kapoor is an Indian celebrity and entrepreneur known for being part of the Kapoor film family and for founding the mental-health-focused fundraising platform Fankind.
  • E. Alka
    Alka is the first name of Alka Yagnik, a renowned Indian playback singer known for her extensive work in Bollywood music.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d6aac993a08190a6f36445ebaf9a43 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e98875a08190b8509fe55e49d52d completed April 9, 2026, 6:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4f49badc88190a3195e919900f0c3 completed April 19, 2026, 3:28 p.m.
Created at: April 8, 2026, 9:32 p.m.