Triple

T8449626
Position Surface form Disambiguated ID Type / Status
Subject Mr. Orange E199768 entity
Predicate recruitedBy P4145 FINISHED
Object Holdaway
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.
E735051 NE FINISHED

How this triple was built (4 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, recruitedBy, Holdaway]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Holdaway
Context triple: [Mr. Orange, recruitedBy, Holdaway]
  • A. 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.
  • B. Holda
    Holda is the witch-like antagonist portrayed by Alice Krige in the 2020 dark fantasy horror film "Gretel & Hansel."
  • C. The Halyard
    The Halyard is a residential neighbourhood located near Palacefields in the town of Runcorn, Cheshire, England.
  • D. Halten
    Halten is a small municipality in the canton of Solothurn in Switzerland.
  • E. The Halt
    The Halt is a 17th-century painting by Dutch Golden Age artist Karel Dujardin, depicting travelers and animals resting in a rustic landscape.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Holdaway
Triple: [Mr. Orange, recruitedBy, Holdaway]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Holdaway
Target entity description: 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.
  • A. 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.
  • B. Holda
    Holda is the witch-like antagonist portrayed by Alice Krige in the 2020 dark fantasy horror film "Gretel & Hansel."
  • C. The Halyard
    The Halyard is a residential neighbourhood located near Palacefields in the town of Runcorn, Cheshire, England.
  • D. Halten
    Halten is a small municipality in the canton of Solothurn in Switzerland.
  • E. The Halt
    The Halt is a 17th-century painting by Dutch Golden Age artist Karel Dujardin, depicting travelers and animals resting in a rustic landscape.
  • F. None of above. chosen

Provenance (5 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_69ce1dc85e48819083340d022d0dba9b completed April 2, 2026, 7:42 a.m.
NEDg Description generation batch_69ce1f88d404819096c6024c0e61d1ea completed April 2, 2026, 7:49 a.m.
NED2 Entity disambiguation (via description) batch_69ce209338b48190ba8375200a5529bd completed April 2, 2026, 7:53 a.m.
Created at: March 30, 2026, 6:09 p.m.