Triple

T6953381
Position Surface form Disambiguated ID Type / Status
Subject Something New E161181 entity
Predicate director P255 FINISHED
Object Sanaa Hamri E65611 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: Sanaa Hamri | Statement: [Something New, director, Sanaa Hamri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sanaa Hamri
Context triple: [Something New, director, Sanaa Hamri]
  • A. Sanaa Hamri chosen
    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.
  • B. Hanan al-Shaykh
    Hanan al-Shaykh is a prominent Lebanese novelist and short story writer known for her bold explorations of gender, sexuality, and social norms in contemporary Arabic literature.
  • C. Hanan Hashim
    Hanan Hashim is the mother of Queen Alia al-Hussein of Jordan and a member of the extended Jordanian royal family.
  • D. 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.
  • E. Haya Harareet
    Haya Harareet was an Israeli actress best known for her role as Esther opposite Charlton Heston in the 1959 epic film "Ben-Hur."
  • 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_69c68852a9a0819097797e31d492e273 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dacca12481908942ba793a104cc3 completed March 27, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c769fd908c81908d92ff4cd79b76c0 completed March 28, 2026, 5:41 a.m.
Created at: March 27, 2026, 2:29 p.m.