Triple

T22901728
Position Surface form Disambiguated ID Type / Status
Subject Hallaj E568334 entity
Predicate famousQuote P492 FINISHED
Object Ana al-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: Ana al-Haqq | Statement: [Hallaj, famousQuote, Ana al-Haqq]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ana al-Haqq
Context triple: [Hallaj, famousQuote, Ana al-Haqq]
  • A. Ana al-Haqq chosen
    Ana al-Haqq is the famous mystical utterance “I am the Truth” associated with the Sufi mystic al-Hallaj, symbolizing an ecstatic identification with the divine that led to charges of heresy.
  • B. Malika Haqq
    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."
  • C. Jamilat-un-Nisa
    Jamilat-un-Nisa was a Mughal empress consort known primarily as the wife of the 18th-century Mughal emperor Alamgir II.
  • D. Hadya Sher Ali
    Hadya Sher Ali is a Pakistani woman known primarily for her brief marriage to British-Pakistani heart surgeon Hasnat Khan.
  • E. Mariam Bachir
    Mariam Bachir is a Spanish actress best known for her role in Pedro Almodóvar’s film "Julieta."
  • 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_69e2458cd9e48190943ad2e34485d939 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18016d8e481908fc47d003156b800 completed April 29, 2026, 3:50 a.m.
Created at: April 17, 2026, 3:41 p.m.