Triple

T21445913
Position Surface form Disambiguated ID Type / Status
Subject Jaime Winstone E529073 entity
Predicate workedWith P398 FINISHED
Object Noel Clarke 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: Noel Clarke | Statement: [Jaime Winstone, workedWith, Noel Clarke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Noel Clarke
Context triple: [Jaime Winstone, workedWith, Noel Clarke]
  • A. Noel Clarke chosen
    Noel Clarke is a British actor, writer, and director best known for his roles in Doctor Who and the Kidulthood film series.
  • B. Danny Dyer
    Danny Dyer is an English actor and television personality best known for his tough-guy roles in British films and the soap opera EastEnders.
  • C. James Groves
    James Groves is a person notable enough to be specifically cited as a bearer of the surname Groves.
  • D. Eddie Marsan
    Eddie Marsan is a British character actor known for his versatile performances in film and television, including roles in projects like "Ray Donovan," "Happy-Go-Lucky," and numerous Guy Ritchie films.
  • E. Mackenzie Crook
    Mackenzie Crook is an English actor, comedian, writer, and director best known for his roles in "The Office" (UK), the "Pirates of the Caribbean" film series, and the TV series "Detectorists," which he also created.
  • 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_69e0c457579481909db68053ed99750c completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e8b707ecd88190b3576b8923840870 completed April 22, 2026, 11:54 a.m.
Created at: April 16, 2026, 6:05 p.m.