Triple

T8486072
Position Surface form Disambiguated ID Type / Status
Subject The Lady in the Van E200834 entity
Predicate editedBy P1954 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: [The Lady in the Van, editedBy, Tariq Anwar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tariq Anwar
Context triple: [The Lady in the Van, editedBy, 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. 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.
  • C. Owais Shah
    Owais Shah is a former England international cricketer and batting specialist who has transitioned into coaching roles in franchise T20 leagues.
  • D. Junaid Khan
    Junaid Khan is the son of Indian actor Aamir Khan and has begun pursuing a career in acting and filmmaking.
  • E. Javid Iqbal
    Javid Iqbal was a Pakistani jurist, philosopher, and senior judge of the Supreme Court of Pakistan, known also as the son of poet-philosopher Allama Muhammad Iqbal.
  • 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_69ca831d7b148190a6e32c1de43ab13b completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe53c4d608190a766c0e919a4b96f completed March 31, 2026, 3:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce88d3e2808190856ee01cc20fbaec completed April 2, 2026, 3:18 p.m.
Created at: March 30, 2026, 6:12 p.m.