Triple

T5693921
Position Surface form Disambiguated ID Type / Status
Subject Tabu E125489 entity
Predicate notableWork P4 FINISHED
Object Maqbool E541889 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: Maqbool | Statement: [Tabu, notableWork, Maqbool]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maqbool
Context triple: [Tabu, notableWork, Maqbool]
  • A. Maqbool chosen
    Maqbool is a critically acclaimed 2003 Indian crime drama film directed by Vishal Bhardwaj, which adapts Shakespeare’s Macbeth into the Mumbai underworld and features Irrfan Khan in a powerful lead role.
  • B. Badal
    Badal is a Barcelona Metro station that serves the area near Camp Nou stadium in Barcelona, Spain.
  • C. Andhadhun
    Andhadhun is a critically acclaimed 2018 Indian black comedy thriller film directed by Sriram Raghavan, known for its twist-filled plot and standout performances.
  • D. Rudaali
    Rudaali is a 1993 Indian Hindi-language drama film, based on Mahasweta Devi’s short story, known for its powerful portrayal of professional mourners in rural Rajasthan and Dimple Kapadia’s acclaimed performance.
  • E. Haider
    Haider is a critically acclaimed 2014 Indian crime drama film directed by Vishal Bhardwaj, adapted from Shakespeare's Hamlet and set against the backdrop of the Kashmir conflict.
  • 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_69c0082bb19c8190823a4facd3cba79b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c023e7dbe48190850b501f223614e3 completed March 22, 2026, 5:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07dd76f008190970c3b17ec8cbfd8 completed March 22, 2026, 11:40 p.m.
Created at: March 22, 2026, 3:44 p.m.