Triple

T11424752
Position Surface form Disambiguated ID Type / Status
Subject Rishi Kapoor E270718 entity
Predicate notableWork P4 FINISHED
Object Chandni E743346 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: Chandni | Statement: [Rishi Kapoor, notableWork, Chandni]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chandni
Context triple: [Rishi Kapoor, notableWork, Chandni]
  • A. Chandni chosen
    Chandni is a popular 1989 Hindi romantic musical film starring Sridevi, celebrated for its songs, emotional storyline, and her iconic performance.
  • B. Shivini
    Shivini is the Urartian sun god, often associated with light, justice, and royal authority in the ancient Kingdom of Urartu.
  • C. Chitra
    Chitra is one of the eight principal gopi companions (Ashta Sakhis) of Radha and Krishna in Hindu Vaishnavite tradition.
  • D. Dharni
    Dharni is a small town in the Amravati district of Maharashtra, India, known as a local administrative and market center for surrounding rural and tribal areas.
  • E. Kanchan
    Kanchan was a prominent chutney and chutney-soca singer known for popularizing the genre internationally, especially through her collaborations with Babla.
  • 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_69d6aadeef688190874bcecd88b3dd9b completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d806be9c2c819084da13101cbb6c81 completed April 9, 2026, 8:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5d36004cc81908222321af88d2903 completed April 20, 2026, 7:18 a.m.
Created at: April 8, 2026, 9:35 p.m.