Triple

T23427403
Position Surface form Disambiguated ID Type / Status
Subject Zulficar family E563229 entity
Predicate hasMember P10 FINISHED
Object Salah Zulfikar 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: Salah Zulfikar | Statement: [Zulficar family, hasMember, Salah Zulfikar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Salah Zulfikar
Context triple: [Zulficar family, hasMember, Salah Zulfikar]
  • A. Salah Zulfikar chosen
    Salah Zulfikar was a prominent Egyptian film actor and producer, renowned for his leading roles in classic Arabic cinema from the 1950s through the 1970s.
  • B. Hamdy Alaa
    Hamdy Alaa is an Egyptian professional footballer known for playing as a midfielder.
  • C. Ezz El-Dine Zulficar
    Ezz El-Dine Zulficar was a prominent Egyptian film director, screenwriter, and producer known for his influential romantic and social dramas in mid-20th-century Egyptian cinema.
  • D. Ahmad Ashmawy Mulloy
    Ahmad Ashmawy Mulloy is a fictional terrorist character who serves as the primary antagonist in the satirical animated series "South Park."
  • E. Muhsin al-Hakim
    Muhsin al-Hakim was a prominent 20th-century Iraqi Shia cleric and marjaʿ (supreme religious authority) based in Najaf, influential in shaping modern Shia jurisprudence and politics.
  • 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_69e24553980c8190bb66a2ae0bdab125 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1a54ae8ac8190b0bae2560582c904 completed April 29, 2026, 6:29 a.m.
Created at: April 17, 2026, 5:47 p.m.