Triple

T11535401
Position Surface form Disambiguated ID Type / Status
Subject Randhir Kapoor E273533 entity
Predicate relative P37 FINISHED
Object Shammi Kapoor E266067 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: Shammi Kapoor | Statement: [Randhir Kapoor, relative, Shammi Kapoor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shammi Kapoor
Context triple: [Randhir Kapoor, relative, Shammi Kapoor]
  • A. Shammi Kapoor chosen
    Shammi Kapoor was a legendary Indian film actor and director, celebrated as one of Bollywood’s earliest and most charismatic dancing stars, especially popular in the 1950s and 1960s.
  • B. 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.
  • C. Shashi Kapoor
    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.
  • D. Dharmendra
    Dharmendra is a legendary Indian film actor, often called the "He-Man" of Bollywood, known for his prolific work in Hindi cinema since the 1960s.
  • E. 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.
  • 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_69f5f631efb4819096ad6ee0c87fa7a7 completed May 2, 2026, 1:03 p.m.
Created at: April 8, 2026, 9:37 p.m.