Triple

T3660031
Position Surface form Disambiguated ID Type / Status
Subject The Age of Steel E77624 entity
Predicate featuresActor P15562 FINISHED
Object Noel Clarke E309900 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: Noel Clarke | Statement: [The Age of Steel, featuresActor, Noel Clarke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Noel Clarke
Context triple: [The Age of Steel, featuresActor, 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. James Groves
    James Groves is a person notable enough to be specifically cited as a bearer of the surname Groves.
  • C. 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.
  • D. 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.
  • E. Tony Dalton
    Tony Dalton is a Mexican-American actor best known internationally for his roles in the series "Better Call Saul" and Marvel's "Hawkeye."
  • 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_69ad85dfc4dc8190a441864202ab2a7a completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc3d5e5f881909c7c105827d41071 completed March 8, 2026, 6:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4f021fe148190af7ba4b36caa0ce2 completed March 14, 2026, 5:20 a.m.
Created at: March 8, 2026, 3:25 p.m.