Triple

T15312503
Position Surface form Disambiguated ID Type / Status
Subject Shanghai Knights E366071 entity
Predicate starring P1507 FINISHED
Object Aidan Gillen E77315 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: Aidan Gillen | Statement: [Shanghai Knights, starring, Aidan Gillen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aidan Gillen
Context triple: [Shanghai Knights, starring, Aidan Gillen]
  • A. Aidan Gillen chosen
    Aidan Gillen is an Irish actor best known for his roles in television series such as Game of Thrones and The Wire, as well as numerous film and stage performances.
  • B. Tony Curran
    Tony Curran is a Scottish actor known for his roles in film and television, including appearances in "Doctor Who," "Gladiator," and "Underworld: Evolution."
  • C. Aidan Turner
    Aidan Turner is an Irish actor best known for his roles in the television series "Poldark" and "Being Human," as well as in Peter Jackson's "The Hobbit" film trilogy.
  • D. Ciarán Hinds
    Ciarán Hinds is an Irish actor known for his versatile performances in film, television, and theatre, with notable roles in works such as "Rome," "There Will Be Blood," and "Game of Thrones."
  • E. John Simm
    John Simm is an English actor and musician best known for his roles in television series such as "Life on Mars," "Doctor Who," and "State of Play."
  • 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_69d85a113ee881908e297a1d38dd79fa completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03cd2d5a88190aead748920f93d47 completed April 16, 2026, 1:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff0b3dac6c81908eaa0aaad29113ee completed May 9, 2026, 10:23 a.m.
Created at: April 10, 2026, 3:16 a.m.