Triple

T22088560
Position Surface form Disambiguated ID Type / Status
Subject Haider Abu Bakr al-Attas E545850 entity
Predicate givenName P17 FINISHED
Object Haider 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: Haider | Statement: [Haider Abu Bakr al-Attas, givenName, Haider]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Haider
Context triple: [Haider Abu Bakr al-Attas, givenName, Haider]
  • A. Haider chosen
    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.
  • B. Fidaa
    Fidaa is a popular Telugu romantic drama film known for its rural backdrop, charming love story, and strong performances, particularly by actress Sai Pallavi.
  • C. Mardaani
    Mardaani is a 2014 Indian crime thriller film that follows a tough female police officer’s pursuit of a child trafficking racket.
  • D. 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.
  • E. Maqbool
    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.
  • 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_69e11e36d03c8190a83a1ba802b7231b completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f128e3a98481908a7b3dc3f2a90276 completed April 28, 2026, 9:38 p.m.
Created at: April 16, 2026, 8:29 p.m.