Triple

T11982533
Position Surface form Disambiguated ID Type / Status
Subject Gabrielle Anwar E285196 entity
Predicate parent P120 FINISHED
Object Tariq Anwar E10358 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: Tariq Anwar | Statement: [Gabrielle Anwar, parent, Tariq Anwar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tariq Anwar
Context triple: [Gabrielle Anwar, parent, Tariq Anwar]
  • A. Tariq Anwar chosen
    Tariq Anwar is a British film editor known for his acclaimed work on numerous major films, including the Academy Award–winning drama "The King’s Speech."
  • B. Khalid Farooqi
    Khalid Farooqi is a military commander associated with the Afghan Islamist political and militant organization Hezb-e Islami Gulbuddin.
  • C. Asif Iqbal
    Asif Iqbal is a former Guantánamo Bay detainee and British resident who challenged his detention in the landmark U.S. Supreme Court case Rasul v. Bush.
  • D. Owais Shah
    Owais Shah is a former England international cricketer and batting specialist who has transitioned into coaching roles in franchise T20 leagues.
  • E. Junaid Khan
    Junaid Khan is the son of Indian actor Aamir Khan and has begun pursuing a career in acting and filmmaking.
  • 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_69d6ab44a77c8190a652f4b27164e4ef completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903973c848190aac871d6dfecc74b completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f4721913108190bd767c671f6484de completed May 1, 2026, 9:27 a.m.
Created at: April 8, 2026, 9:46 p.m.