Triple

T8449655
Position Surface form Disambiguated ID Type / Status
Subject Mr. Orange E199768 entity
Predicate trainedBy P3665 FINISHED
Object Holdaway E735051 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: Holdaway | Statement: [Mr. Orange, trainedBy, Holdaway]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Holdaway
Context triple: [Mr. Orange, trainedBy, Holdaway]
  • A. Holdaway chosen
    Holdaway is a character in Quentin Tarantino's film "Reservoir Dogs," serving as the police handler who recruits the undercover cop known as Mr. Orange.
  • B. Holloway
    Holloway is a district in the London Borough of Islington, England, known for its urban character and as the area surrounding Arsenal FC’s Emirates Stadium.
  • C. Holda
    Holda is the witch-like antagonist portrayed by Alice Krige in the 2020 dark fantasy horror film "Gretel & Hansel."
  • D. The Halyard
    The Halyard is a residential neighbourhood located near Palacefields in the town of Runcorn, Cheshire, England.
  • E. Halten
    Halten is a small municipality in the canton of Solothurn in Switzerland.
  • 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_69ca83170f9081909cd98f55614c6476 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe44707b88190b3d8b30c45ef4496 completed March 31, 2026, 3:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce39c11a488190b7775002e419eee7 completed April 2, 2026, 9:41 a.m.
Created at: March 30, 2026, 6:09 p.m.