Triple

T11535400
Position Surface form Disambiguated ID Type / Status
Subject Randhir Kapoor E273533 entity
Predicate relative P37 FINISHED
Object Shashi Kapoor E267281 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: Shashi Kapoor | Statement: [Randhir Kapoor, relative, Shashi Kapoor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shashi Kapoor
Context triple: [Randhir Kapoor, relative, Shashi Kapoor]
  • A. Shashi Kapoor chosen
    Shashi Kapoor was a prominent Indian film actor and producer, known for his work in Hindi cinema and international films, and as a member of the influential Kapoor family.
  • B. Sanjeev Kumar
    Sanjeev Kumar was a highly acclaimed Indian film actor known for his versatile performances in both mainstream and parallel cinema during the 1960s and 1970s.
  • C. Dilip Kumar
    Dilip Kumar was a legendary Indian film actor, celebrated as the "Tragedy King" of Hindi cinema and renowned for his intense, nuanced performances in classic Bollywood films.
  • D. Dev Anand
    Dev Anand was a legendary Indian film actor, director, and producer, celebrated as one of Hindi cinema’s most charismatic and enduring stars.
  • E. Utpal Dutt
    Utpal Dutt was a renowned Indian actor, director, and playwright, celebrated for his powerful performances in both serious cinema and popular comedies, as well as his influential work in Bengali theatre.
  • 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_69d6aae3fbec8190a14632a5df2538b6 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8839b4bb48190b748ec4119f36c11 completed April 10, 2026, 4:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69f12fcc1f2481908423370681dc869e completed April 28, 2026, 10:08 p.m.
Created at: April 8, 2026, 9:37 p.m.