Triple

T5071781
Position Surface form Disambiguated ID Type / Status
Subject Orry-Kelly E114297 entity
Predicate givenName P17 FINISHED
Object Orry
Orry is the given name of Orry-Kelly, the acclaimed Australian costume designer who won multiple Academy Awards for his work in Hollywood cinema.
 E491502 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: Orry | Statement: [Orry-Kelly, givenName, Orry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Orry
Context triple: [Orry-Kelly, givenName, Orry]
  • A. Arlay
    Arlay is a historic locality in eastern France that served as the principal seat of the noble House of Chalon-Arlay.
  • B. Crozet
    Crozet is a small French commune in the Ain department of eastern France, near the Swiss border and the city of Geneva.
  • C. Ozanne
    Ozanne is a river in France that serves as a right-bank tributary of the Loir.
  • D. Girard
    Girard is a masculine given name and surname of Germanic origin, historically associated with forms like Gerard or Gerhard and borne by various notable figures in European and North American history.
  • E. Orrell
    Orrell is a suburban area and electoral ward within the Metropolitan Borough of Wigan in Greater Manchester, England.
  • 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: Orry
Triple: [Orry-Kelly, givenName, Orry]
Generated description
Orry is the given name of Orry-Kelly, the acclaimed Australian costume designer who won multiple Academy Awards for his work in Hollywood cinema.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Orry
Target entity description: Orry is the given name of Orry-Kelly, the acclaimed Australian costume designer who won multiple Academy Awards for his work in Hollywood cinema.
  • A. Arlay
    Arlay is a historic locality in eastern France that served as the principal seat of the noble House of Chalon-Arlay.
  • B. Crozet
    Crozet is a small French commune in the Ain department of eastern France, near the Swiss border and the city of Geneva.
  • C. Ozanne
    Ozanne is a river in France that serves as a right-bank tributary of the Loir.
  • D. Girard
    Girard is a masculine given name and surname of Germanic origin, historically associated with forms like Gerard or Gerhard and borne by various notable figures in European and North American history.
  • E. Orrell
    Orrell is a suburban area and electoral ward within the Metropolitan Borough of Wigan in Greater Manchester, England.
  • 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_69bd443cf28c8190ad371d603563dbdd completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd74ce140881909a2874663244c0db completed March 20, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69beb1110a388190a5db1c94b3d60d6b completed March 21, 2026, 2:54 p.m.
NEDg Description generation batch_69beb186dfa88190bd4cc76247a64ff1 completed March 21, 2026, 2:56 p.m.
NED2 Entity disambiguation (via description) batch_69beb1f3c7b88190a3c4e6bcd8714808 completed March 21, 2026, 2:57 p.m.
Created at: March 20, 2026, 1:39 p.m.