Triple

T4750023
Position Surface form Disambiguated ID Type / Status
Subject Gully E105454 entity
Predicate director P255 FINISHED
Object Nabil Elderkin E19210 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: Nabil Elderkin | Statement: [Gully, director, Nabil Elderkin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nabil Elderkin
Context triple: [Gully, director, Nabil Elderkin]
  • A. Nabil Elderkin chosen
    Nabil Elderkin is an acclaimed photographer and music video director known for his visually striking work with artists such as Kanye West, Frank Ocean, and John Legend.
  • B. Alexander Siddig
    Alexander Siddig is a Sudanese-born British actor known for his roles in film and television, including prominent performances in "Star Trek: Deep Space Nine," "Syriana," and "Game of Thrones."
  • C. Alan Durband
    Alan Durband was a British teacher, writer, and influential drama educator from Liverpool, known for his popular guides to Shakespeare and his impact on English education.
  • D. Ramin Mazaheri
    Ramin Mazaheri is an Iranian journalist and political analyst known for his reporting and commentary on international affairs and socio-political issues.
  • E. Nadim Sawalha
    Nadim Sawalha is a Jordanian-British actor known for his character roles in film and television, including appearances in James Bond movies and various British dramas.
  • 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_69bd43f07fa48190954317d01600994a completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd64c83af48190bd57be79c1505e9d completed March 20, 2026, 3:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69be3a561a7c8190a5ab87751ab36e0d completed March 21, 2026, 6:27 a.m.
Created at: March 20, 2026, 1:20 p.m.