Triple

T21111032
Position Surface form Disambiguated ID Type / Status
Subject Middle cinema (India) E520169 entity
Predicate notableFilm P22 FINISHED
Object Angoor NE NERFINISHED

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: Angoor | Statement: [Middle cinema (India), notableFilm, Angoor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Angoor
Context triple: [Middle cinema (India), notableFilm, Angoor]
  • A. Angoor chosen
    Angoor is a 1982 Hindi comedy film directed by Gulzar, celebrated for its witty adaptation of Shakespeare’s "The Comedy of Errors" and its classic double-role performances.
  • B. Cossipore
    Cossipore is a neighborhood in northern Kolkata, India, historically notable as the place where the 19th-century mystic Sri Ramakrishna (Gadadhar Chattopadhyay) spent his final days.
  • C. Argaum
    Argaum is a village in Maharashtra, India, historically notable as the site of a major battle during the Second Anglo-Maratha War.
  • D. Bairat
    Bairat is a historic town in Rajasthan, India, known for its ancient Buddhist archaeological remains and connections to the Mauryan period.
  • E. Saroornagar
    Saroornagar is a residential and commercial suburb in Hyderabad, Telangana, known for its lake, park, and dense urban neighborhoods.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b509a318819092fbbcb21d1fe603 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e72101f7308190beb202a052ff04d2 completed April 21, 2026, 7:02 a.m.
Created at: April 16, 2026, 2:54 p.m.