Triple

T2899008
Position Surface form Disambiguated ID Type / Status
Subject The Madness of King George E62610 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 Madness of King George, editedBy, Tariq Anwar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tariq Anwar
Context triple: [The Madness of King George, 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. 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.
  • C. Salim Malik
    Salim Malik is a central character in the film "Slumdog Millionaire," portrayed as the conflicted older brother of the protagonist Jamal whose choices drive much of the story’s drama and moral tension.
  • D. Hasnat Khan
    Hasnat Khan is a British-Pakistani heart surgeon best known for his romantic relationship with Diana, Princess of Wales.
  • E. Syed Iftikar
    Syed Iftikar is an entrepreneur best known as a co-founder of the data storage company Seagate Technology.
  • 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_69ab4c3e070c8190b78d3d2c005876dd completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abe0ad7bbc8190822738baa6935b74 completed March 7, 2026, 8:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69b086531854819086ec55f2269c96e0 completed March 10, 2026, 9 p.m.
Created at: March 6, 2026, 10:10 p.m.