Triple

T10213317
Position Surface form Disambiguated ID Type / Status
Subject Rangeela E242381 entity
Predicate followsCharacter P10688 FINISHED
Object Raj Kamal
Raj Kamal is a character in the Indian film "Rangeela," around whom part of the movie’s romantic and dramatic narrative revolves.
 E849941 NE FINISHED

How this triple was built (4 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: Raj Kamal | Statement: [Rangeela, followsCharacter, Raj Kamal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Raj Kamal
Context triple: [Rangeela, followsCharacter, Raj Kamal]
  • A. Madan Babu
    Madan Babu is a computational biologist known for his influential work on gene regulation, protein networks, and systems biology.
  • B. 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.
  • C. Himanshu Rai
    Himanshu Rai was a prominent Indian actor and pioneering film producer-director, best known for co-founding Bombay Talkies and helping shape early Indian cinema.
  • D. B. G. Kher
    B. G. Kher was an Indian lawyer, freedom fighter, and senior Congress leader who became the first Chief Minister of the erstwhile Bombay State after independence.
  • E. Deepak Kapur
    Deepak Kapur is a computer scientist known for his influential work in automated reasoning and term rewriting systems.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Raj Kamal
Triple: [Rangeela, followsCharacter, Raj Kamal]
Generated description
Raj Kamal is a character in the Indian film "Rangeela," around whom part of the movie’s romantic and dramatic narrative revolves.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Raj Kamal
Target entity description: Raj Kamal is a character in the Indian film "Rangeela," around whom part of the movie’s romantic and dramatic narrative revolves.
  • A. Madan Babu
    Madan Babu is a computational biologist known for his influential work on gene regulation, protein networks, and systems biology.
  • B. 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.
  • C. Himanshu Rai
    Himanshu Rai was a prominent Indian actor and pioneering film producer-director, best known for co-founding Bombay Talkies and helping shape early Indian cinema.
  • D. B. G. Kher
    B. G. Kher was an Indian lawyer, freedom fighter, and senior Congress leader who became the first Chief Minister of the erstwhile Bombay State after independence.
  • E. Deepak Kapur
    Deepak Kapur is a computer scientist known for his influential work in automated reasoning and term rewriting systems.
  • F. None of above. chosen

Provenance (5 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_69d381ae26c48190985abd0e25ee5d04 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d3aa24efc081909714d98943543283 completed April 6, 2026, 12:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d652ea80dc81908bc65ee2ec390467 completed April 8, 2026, 1:06 p.m.
NEDg Description generation batch_69d657818b008190a24170717cff53b9 completed April 8, 2026, 1:26 p.m.
NED2 Entity disambiguation (via description) batch_69d65835a11c819083d069ab0f644d4c completed April 8, 2026, 1:29 p.m.
Created at: April 6, 2026, 11:03 a.m.