Triple

T13925710
Position Surface form Disambiguated ID Type / Status
Subject Marathis E334856 entity
Predicate performingArts P46717 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: [Marathis, performingArts, Tamasha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tamasha
Context triple: [Marathis, performingArts, 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. Humraaz
    Humraaz is a 2002 Hindi-language romantic thriller film directed by Abbas–Mustan, known for its twist-filled plot involving love, betrayal, and a high-stakes murder conspiracy.
  • D. 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.
  • E. 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.
  • 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_69d81c5f739081908bc05b2461f54828 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2aa6cd9881908f652538f4613f37 completed April 14, 2026, 11:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7ce80a3188190ac481b2de709d4f8 completed May 3, 2026, 10:38 p.m.
Created at: April 9, 2026, 10:16 p.m.