Triple

T16589289
Position Surface form Disambiguated ID Type / Status
Subject Satish Shah E403038 entity
Predicate hasFilmAppearance P15620 FINISHED
Object Main Hoon Na E1199352 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: Main Hoon Na | Statement: [Satish Shah, hasFilmAppearance, Main Hoon Na]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Main Hoon Na
Context triple: [Satish Shah, hasFilmAppearance, Main Hoon Na]
  • A. Main Hoon Na chosen
    Main Hoon Na is a 2004 Bollywood action-comedy film directed by Farah Khan, starring Shah Rukh Khan as an army major on an undercover mission in a college while trying to reconcile with his estranged family.
  • B. Hoon
    Hoon is a surname most notably associated with Shannon Hoon, the late lead singer of the rock band Blind Melon.
  • C. Saarang
    Saarang is the annual cultural festival of IIT Madras, known as one of India’s largest and most prominent college cultural fests featuring music, arts, literary, and performing arts events.
  • D. Nahan
    Nahan is a small hill town and municipal council in Himachal Pradesh, India, known for its scenic surroundings, pleasant climate, and role as a regional administrative and commercial center.
  • E. Ko Haa
    Ko Haa is a small group of picturesque limestone islets in southern Thailand known for their clear waters, coral reefs, and popular diving and snorkeling sites.
  • 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_69d88387363c8190a97a0c942130de97 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3599f3d18819082b3e6eef5506731 completed April 18, 2026, 10:14 a.m.
NED1 Entity disambiguation (via context triple) batch_6a007da6d6f08190a8524b1c955b7c2e completed May 10, 2026, 12:44 p.m.
Created at: April 10, 2026, 5:16 a.m.