Triple

T18037094
Position Surface form Disambiguated ID Type / Status
Subject Stan Collymore E431536 entity
Predicate givenName P17 FINISHED
Object Stanley
Stanley is the given first name of former English professional footballer and broadcaster Stan Collymore.
E123677 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: Stanley | Statement: [Stan Collymore, givenName, Stanley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stanley
Context triple: [Stan Collymore, givenName, Stanley]
  • A. Stanley
    Stanley is the given first name of Ann Dunham, the American anthropologist and mother of former U.S. President Barack Obama.
  • B. Stanley
    Stanley is a well-known tool and hardware brand that has served as a prominent sponsor in NASCAR and other major motorsports.
  • C. Stanley
    "Stanley" is a 1972 American horror film in which Zohra Lampert stars in a story about a Seminole man who uses his pet snakes for revenge.
  • D. Stanley
    Stanley is a British noble family name historically associated with influential aristocrats, including Lord Stanley of Preston, who served as Governor General of Canada.
  • E. Stanley
    Stanley is a small village in Perth and Kinross, Scotland, situated on the banks of the River Tay and known historically for its cotton mill and scenic riverside setting.
  • 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: Stanley
Triple: [Stan Collymore, givenName, Stanley]
Generated description
Stanley is the given first name of former English professional footballer and broadcaster Stan Collymore.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Stanley
Target entity description: Stanley is the given first name of former English professional footballer and broadcaster Stan Collymore.
  • A. Stanley chosen
    Stanley is a masculine given name of Old English origin that has been borne by numerous notable figures, including British statesman Stanley Baldwin.
  • B. Stanley
    Stanley is a British noble family name historically associated with influential aristocrats, including Lord Stanley of Preston, who served as Governor General of Canada.
  • C. Stanley
    Stanley is the given first name of Ann Dunham, the American anthropologist and mother of former U.S. President Barack Obama.
  • D. Stanley
    Stanley is the person after whom Stanley Hall was named, likely a notable figure significant enough to have a building or institution dedicated in their honor.
  • E. Stanley
    Stanley is a well-known tool and hardware brand that has served as a prominent sponsor in NASCAR and other major motorsports.
  • F. None of above.

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_69d8b9050fb48190890155145deb0a66 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4be3a80508190b667c3f6d14f5c84 completed April 19, 2026, 11:36 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0349b345148190b500996adc2c4d6f completed May 12, 2026, 3:39 p.m.
NEDg Description generation batch_6a034a6325b881909f8b21f25c88c561 completed May 12, 2026, 3:42 p.m.
NED2 Entity disambiguation (via description) batch_6a034b35b618819086373115fea686ad completed May 12, 2026, 3:45 p.m.
Created at: April 10, 2026, 10:25 a.m.