Triple

T19532726
Position Surface form Disambiguated ID Type / Status
Subject ATL (2006 film) E488693 entity
Predicate stars P1956 FINISHED
Object Malika Haqq 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: Malika Haqq | Statement: [ATL (2006 film), stars, Malika Haqq]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Malika Haqq
Context triple: [ATL (2006 film), stars, Malika Haqq]
  • A. Malika Haqq chosen
    Malika Haqq is an American television personality and actress best known for her appearances on reality shows alongside Khloé Kardashian and her role on the series "Dash Dolls."
  • B. Hadya Sher Ali
    Hadya Sher Ali is a Pakistani woman known primarily for her brief marriage to British-Pakistani heart surgeon Hasnat Khan.
  • C. Safia Farkash
    Safia Farkash is the second wife of former Libyan leader Muammar Gaddafi and the mother of several of his children, known primarily for her role as Libya’s de facto first lady during his rule.
  • D. Farida Jalal
    Farida Jalal is a veteran Indian film and television actress known for her versatile character roles and memorable performances across Hindi cinema since the 1960s.
  • E. Malika Wahab
    Malika Wahab is an Indian woman known primarily as the sister of acclaimed film and television actress Zarina Wahab.
  • 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_69d8e8db5b6c8190984b61f91981f575 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6364091f4819088b27d0ffdf6010d completed April 20, 2026, 2:20 p.m.
Created at: April 10, 2026, 1:41 p.m.