Triple

T8851866
Position Surface form Disambiguated ID Type / Status
Subject RedOne E210656 entity
Predicate birthName P65 FINISHED
Object Nadir Khayat E731807 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: Nadir Khayat | Statement: [RedOne, birthName, Nadir Khayat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nadir Khayat
Context triple: [RedOne, birthName, Nadir Khayat]
  • A. Nadir Khayat chosen
    Nadir Khayat, better known as RedOne, is a Moroccan-Swedish record producer and songwriter renowned for crafting global pop and dance hits for artists like Lady Gaga, Jennifer Lopez, and Nicki Minaj.
  • B. Souhayr Belhassen
    Souhayr Belhassen is a Tunisian journalist and prominent human rights activist known for her leadership in international human rights organizations.
  • C. Marwan Kenzari
    Marwan Kenzari is a Dutch-Tunisian actor known for his roles in international films such as Disney’s live-action Aladdin and various Hollywood thrillers and dramas.
  • D. Abdelhamid Ben Badis
    Abdelhamid Ben Badis was an influential Algerian Islamic scholar and leading figure of the early 20th-century Algerian reformist and nationalist movement.
  • E. Ismail Yassine
    Ismail Yassine was a legendary Egyptian comedian and film actor, renowned for his expressive face and starring roles in classic mid-20th-century Egyptian 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_69ca838a424c8190b1ecac115c2927e7 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc60c3c5548190926e374bbe592180 completed April 1, 2026, 12:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfab821e808190a918bf787cde54b6 completed April 3, 2026, 11:58 a.m.
Created at: March 30, 2026, 6:49 p.m.