Triple

T22982197
Position Surface form Disambiguated ID Type / Status
Subject Henry Barakat E571497 entity
Predicate notableWork P4 FINISHED
Object Doa al-Karawan 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: Doa al-Karawan | Statement: [Henry Barakat, notableWork, Doa al-Karawan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Doa al-Karawan
Context triple: [Henry Barakat, notableWork, Doa al-Karawan]
  • A. Doa al-Karawan chosen
    Doa al-Karawan is a classic Egyptian film directed by Henry Barakat, renowned for its poignant exploration of love, honor, and social constraints in rural Egyptian society.
  • B. Khidrane di Dhab
    Khidrane di Dhab is the historical name of the town now known as Muktsar in Punjab, India, a site significant in Sikh history.
  • C. Al Daayen
    Al Daayen is a municipality in northeastern Qatar known for its rapidly developing residential areas and proximity to the capital, Doha.
  • D. Mashaal
    Mashaal is a 1984 Hindi drama film best known for its powerful performances, including a memorable role by veteran actor Amrish Puri.
  • E. Al-Qari'atu
    Al-Qari'atu is the striking, cataclysmic event described at the beginning of Surah Al-Qari'ah in the Qur'an, referring to the Day of Judgment.
  • 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_69e245b3c50481908bb3741ec9f40862 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1829645f88190aea1b96ea595ff60 completed April 29, 2026, 4:01 a.m.
Created at: April 17, 2026, 3:49 p.m.