Triple

T10354205
Position Surface form Disambiguated ID Type / Status
Subject Anil Kapoor E243955 entity
Predicate notableWork P4 FINISHED
Object Ram Lakhan E546213 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: Ram Lakhan | Statement: [Anil Kapoor, notableWork, Ram Lakhan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ram Lakhan
Context triple: [Anil Kapoor, notableWork, Ram Lakhan]
  • A. Ram Lakhan chosen
    Ram Lakhan is a popular 1989 Hindi masala film directed by Subhash Ghai, known for its blend of action, drama, and comedy and its ensemble cast including Anil Kapoor, Jackie Shroff, and Anupam Kher.
  • B. HAL Ajeet
    HAL Ajeet is an Indian light fighter aircraft developed by Hindustan Aeronautics Limited as an improved, license-built variant of the British Folland Gnat.
  • C. Madan Babu
    Madan Babu is a computational biologist known for his influential work on gene regulation, protein networks, and systems biology.
  • D. Ramta Jogi
    "Ramta Jogi" is a popular, high-energy Hindi film song from the 1999 soundtrack of the movie *Taal*, composed by A. R. Rahman.
  • E. Randhir Kapoor
    Randhir Kapoor is an Indian actor, director, and producer from the prominent Kapoor film family, known for his work in Hindi cinema since the 1970s.
  • 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_69d381b22b8c8190aaed476be5f872a9 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e952c878819084e5d7a593a3f9e9 completed April 7, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69d750a30af88190b2ebf0daf758ed44 completed April 9, 2026, 7:09 a.m.
Created at: April 6, 2026, 11:58 a.m.