Triple

T1324243
Position Surface form Disambiguated ID Type / Status
Subject al-Hallaj E28288 entity
Predicate notableQuote P492 FINISHED
Object Ana al-Haqq E152247 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: Ana al-Haqq | Statement: [al-Hallaj, notableQuote, Ana al-Haqq]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ana al-Haqq
Context triple: [al-Hallaj, notableQuote, 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. 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.
  • C. Hala Hussein
    Hala Hussein is a daughter of former Iraqi president Saddam Hussein and a member of his immediate family.
  • D. Sanaa Hamri
    Sanaa Hamri is a Moroccan-American film and television director known for her work on romantic comedies and music videos, including projects with major pop and R&B artists.
  • E. Safa Zaki
    Safa Zaki is a cognitive psychologist and academic leader who became the first woman to serve as president of Bowdoin College.
  • 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_69a498540a2481909e807a762280d3ba completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c19e81c0819092f85201ae34422a completed March 1, 2026, 10:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69acc62764d88190b7d1fca10835f560 completed March 8, 2026, 12:43 a.m.
Created at: March 1, 2026, 7:55 p.m.