Triple

T13034427
Position Surface form Disambiguated ID Type / Status
Subject A Hidden Life E326520 entity
Predicate editedBy P1954 FINISHED
Object Rehman Nizar Ali E305282 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: Rehman Nizar Ali | Statement: [A Hidden Life, editedBy, Rehman Nizar Ali]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rehman Nizar Ali
Context triple: [A Hidden Life, editedBy, Rehman Nizar Ali]
  • A. Rehman Nizar Ali chosen
    Rehman Nizar Ali is a film editor known for his work on the experimental romantic drama "Song to Song."
  • B. Mazhar Munir
    Mazhar Munir is a British actor best known for his role in the geopolitical thriller film "Syriana."
  • C. Nadeem Omar
    Nadeem Omar is a Pakistani businessman and cricket administrator best known for owning the Quetta Gladiators franchise in the Pakistan Super League.
  • D. Ahmad Faraz
    Ahmad Faraz was a renowned Pakistani Urdu poet celebrated for his romantic, progressive, and politically charged poetry.
  • E. Amjad Ali Shah
    Amjad Ali Shah was the fourth Nawab of Awadh, known for his architectural patronage and contributions to Lucknow’s religious and cultural landscape.
  • 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_69d8076cc45c81908123123f43e69266 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97effca908190ab89fdb034e02680 completed April 10, 2026, 10:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6cbcf11f88190ab1746f973132af1 completed May 3, 2026, 4:15 a.m.
Created at: April 9, 2026, 8:54 p.m.