Triple

T9909734
Position Surface form Disambiguated ID Type / Status
Subject Ranbir Kapoor E185108 entity
Predicate notableWork P4 FINISHED
Object Tamasha E102184 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: Tamasha | Statement: [Ranbir Kapoor, notableWork, Tamasha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tamasha
Context triple: [Ranbir Kapoor, notableWork, Tamasha]
  • A. Tamasha chosen
    Tamasha is a traditional Marathi folk theatre form from Maharashtra, India, known for its lively blend of music, dance, and dramatic performance.
  • B. Dilwaala
    Dilwaala is an Indian film best known for featuring actress Persis Khambatta in a notable role.
  • C. Miss Bala
    Miss Bala is a 2019 American action thriller film about a woman who becomes entangled with a drug cartel and law enforcement after witnessing a nightclub shooting in Mexico.
  • D. Launda Naach
    Launda Naach is a traditional North Indian folk performance genre, especially popular in the Bhojpuri-speaking region, featuring male dancers often dressed as women who combine dance, music, and comic or satirical skits.
  • E. 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.
  • 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_69ca8296165881908ca4750701af1f29 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cdb51184d08190a0350f2722110811 completed April 2, 2026, 12:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69d20db5979081909b8e292ac6bb7c2f completed April 5, 2026, 7:22 a.m.
Created at: March 30, 2026, 8:41 p.m.