Triple

T7497543
Position Surface form Disambiguated ID Type / Status
Subject Wings E177171 entity
Predicate hasCharacter P2308 FINISHED
Object Roy Biggins
Roy Biggins is a scheming, boorish rival airline owner and recurring antagonist on the sitcom "Wings."
E678986 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: Roy Biggins | Statement: [Wings, hasCharacter, Roy Biggins]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roy Biggins
Context triple: [Wings, hasCharacter, Roy Biggins]
  • A. Roy Budd
    Roy Budd was a British jazz pianist and film composer best known for his iconic scores to movies such as "Get Carter" and other 1970s and 1980s thrillers.
  • B. Stanley Savige
    Stanley Savige was an Australian Army lieutenant general and World War II corps commander noted for his leadership in the Pacific theatre and his earlier service at Gallipoli and on the Western Front in World War I.
  • C. John Bragg
    John Bragg was a prominent 19th-century figure from Mobile, Alabama, for whom the historic Bragg-Mitchell Mansion is named.
  • D. Richard Bristow
    Richard Bristow was a 16th-century English Catholic scholar and theologian who contributed to the development and annotation of the Douay–Rheims Bible.
  • E. James Burrows
    James Burrows is an American television director and producer best known for his influential work on classic sitcoms such as "Cheers," "Taxi," and "Will & Grace."
  • 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: Roy Biggins
Triple: [Wings, hasCharacter, Roy Biggins]
Generated description
Roy Biggins is a scheming, boorish rival airline owner and recurring antagonist on the sitcom "Wings."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Roy Biggins
Target entity description: Roy Biggins is a scheming, boorish rival airline owner and recurring antagonist on the sitcom "Wings."
  • A. Roy Budd
    Roy Budd was a British jazz pianist and film composer best known for his iconic scores to movies such as "Get Carter" and other 1970s and 1980s thrillers.
  • B. Stanley Savige
    Stanley Savige was an Australian Army lieutenant general and World War II corps commander noted for his leadership in the Pacific theatre and his earlier service at Gallipoli and on the Western Front in World War I.
  • C. John Bragg
    John Bragg was a prominent 19th-century figure from Mobile, Alabama, for whom the historic Bragg-Mitchell Mansion is named.
  • D. Richard Bristow
    Richard Bristow was a 16th-century English Catholic scholar and theologian who contributed to the development and annotation of the Douay–Rheims Bible.
  • E. James Burrows
    James Burrows is an American television director and producer best known for his influential work on classic sitcoms such as "Cheers," "Taxi," and "Will & Grace."
  • 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_69c69f2583808190bd1a4936c42a5815 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f5963d98819098275b161848d2d4 completed March 27, 2026, 9:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c89a7aada08190b241c078871dc864 completed March 29, 2026, 3:20 a.m.
NEDg Description generation batch_69c89b9d22e88190b08543c975ce7898 completed March 29, 2026, 3:25 a.m.
NED2 Entity disambiguation (via description) batch_69c89c2e62848190a5339707ba401772 completed March 29, 2026, 3:27 a.m.
Created at: March 27, 2026, 3:44 p.m.