Triple

T9997519
Position Surface form Disambiguated ID Type / Status
Subject Hany Abu-Assad E197237 entity
Predicate familyName P18 FINISHED
Object Abu-Assad E197237 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: Abu-Assad | Statement: [Hany Abu-Assad, familyName, Abu-Assad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abu-Assad
Context triple: [Hany Abu-Assad, familyName, Abu-Assad]
  • A. Amos Labaki
    Amos Labaki is a cinematographer best known for his work on the 1995 horror film "The Mangler," adapted from a Stephen King short story.
  • B. Hany Abu-Assad chosen
    Hany Abu-Assad is a Palestinian-Dutch filmmaker acclaimed for powerful, politically charged dramas such as "Paradise Now" and "Omar," both of which received Academy Award nominations for Best Foreign Language Film.
  • C. Mohammad Rasoulof
    Mohammad Rasoulof is an acclaimed Iranian filmmaker known for his politically charged, socially critical dramas that challenge censorship and authoritarianism.
  • D. Youssef Chahine
    Youssef Chahine was a pioneering Egyptian film director and screenwriter renowned for his influential, socially engaged cinema and for helping shape modern Arab film.
  • E. Mohsen Makhmalbaf
    Mohsen Makhmalbaf is a prominent Iranian filmmaker and writer known for his innovative, socially and politically engaged films that helped bring international recognition to contemporary Iranian cinema.
  • 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_69ca82f3b61c81908ecc2c1c96dbc2e4 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdcc8aa1a881909879a694496f11a5 completed April 2, 2026, 1:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69d26a36aadc81909978b71bdb3a6654 completed April 5, 2026, 1:57 p.m.
Created at: March 30, 2026, 8:51 p.m.