Triple

T10249184
Position Surface form Disambiguated ID Type / Status
Subject Aidan Chambers E240296 entity
Predicate name P16 FINISHED
Object Aidan Chambers E240296 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 Chambers | Statement: [Aidan Chambers, name, Aidan Chambers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aidan Chambers
Context triple: [Aidan Chambers, name, Aidan Chambers]
  • A. Aidan Chambers chosen
    Aidan Chambers is a British author and critic best known for his innovative and award-winning young adult novels, including the Carnegie Medal–winning "Postcards from No Man’s Land."
  • B. Dominic Treadwell-Collins
    Dominic Treadwell-Collins is a British television producer best known for his work on high-profile drama series, including serving as executive producer on the BBC soap opera EastEnders.
  • C. Liam Aiken
    Liam Aiken is an American actor known for his roles as a child and teen in films such as "A Series of Unfortunate Events," "Good Boy!" and "Stepmom."
  • D. Lewis MacDougall
    Lewis MacDougall is a Scottish actor best known for his breakout role as the young protagonist in the fantasy drama film "A Monster Calls."
  • E. Callum Turner
    Callum Turner is a British actor and model known for roles in films such as "Green Room," the "Fantastic Beasts" series, and various acclaimed television 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_69d381a7e198819090280d5ab885d59e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d23c4cd88190b99e65a074b68d6b completed April 7, 2026, 9:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69d794ad73508190880a1030d483f5a8 completed April 9, 2026, 11:59 a.m.
Created at: April 6, 2026, 11:28 a.m.