Triple

T16527939
Position Surface form Disambiguated ID Type / Status
Subject Rajkumar Santoshi E401487 entity
Predicate directed P7373 FINISHED
Object Ghayal E1218719 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: Ghayal | Statement: [Rajkumar Santoshi, directed, Ghayal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ghayal
Context triple: [Rajkumar Santoshi, directed, Ghayal]
  • A. Ghayal chosen
    Ghayal is a 1990 Indian Hindi-language action drama film, widely acclaimed for its intense storyline and Sunny Deol’s powerful performance, which earned several major awards.
  • B. Ghum
    Ghum is a small hill station in West Bengal, India, known for its high-altitude railway station on the Darjeeling Himalayan Railway and its scenic views of the surrounding Himalayas.
  • C. Phillauri
    Phillauri is a 2017 Indian romantic comedy-drama film that blends elements of fantasy and reincarnation, featuring a ghost bride entangled in a modern-day Punjabi wedding.
  • D. Badal
    Badal is a Barcelona Metro station that serves the area near Camp Nou stadium in Barcelona, Spain.
  • E. Rangbaaz
    Rangbaaz is a Bangladeshi film that helped establish actor Razzak as a major star in the country’s cinema.
  • 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_69d883838abc8190bc79cb2d41733ce2 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32ed57be481908625d4c5aab0940c completed April 18, 2026, 7:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0067a7616c8190af486bef3331e115 completed May 10, 2026, 11:10 a.m.
Created at: April 10, 2026, 5:14 a.m.