Triple

T12931092
Position Surface form Disambiguated ID Type / Status
Subject Bill Dickey E309380 entity
Predicate familyName P18 FINISHED
Object Dickey
Dickey is a surname most notably associated with Bill Dickey, the Hall of Fame New York Yankees catcher and coach.
 E621012 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: Dickey | Statement: [Bill Dickey, familyName, Dickey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dickey
Context triple: [Bill Dickey, familyName, Dickey]
  • A. Dickey
    Dickey was a child of Bennelong, the well-known Eora man who served as an intermediary between Indigenous Australians and the early British colonists in Sydney.
  • B. Dickie
    Dickie is a Scottish surname most notably associated with actress Kate Dickie, known for her roles in film and television.
  • C. Dale Dickey
    Dale Dickey is an American character actress known for her gritty, memorable supporting roles in independent films and television dramas such as "Winter's Bone" and "Breaking Bad."
  • D. Coker
    Coker is a residential and commercial neighborhood located within the Surulere area of Lagos, Nigeria.
  • E. Coker
    Coker is a surname of English origin borne by various notable individuals across fields such as religion, politics, sports, and the arts.
  • 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: Dickey
Triple: [Bill Dickey, familyName, Dickey]
Generated description
Dickey is a surname most notably associated with Bill Dickey, the Hall of Fame New York Yankees catcher and coach.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dickey
Target entity description: Dickey is a surname most notably associated with Bill Dickey, the Hall of Fame New York Yankees catcher and coach.
  • A. Dickey chosen
    Dickey was a child of Bennelong, the well-known Eora man who served as an intermediary between Indigenous Australians and the early British colonists in Sydney.
  • B. Dickey Nutt
    Dickey Nutt is an American college basketball coach known for head coaching stints at Arkansas State and Southeast Missouri State.
  • C. Dickie
    Dickie is a Scottish surname most notably associated with actress Kate Dickie, known for her roles in film and television.
  • D. Dale Dickey
    Dale Dickey is an American character actress known for her gritty, memorable supporting roles in independent films and television dramas such as "Winter's Bone" and "Breaking Bad."
  • E. Coker
    Coker is a residential and commercial neighborhood located within the Surulere area of Lagos, Nigeria.
  • 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_69d7bdfa933c8190b5a27aa4a08a19b7 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97245b6408190816d9b7e314eb51a completed April 10, 2026, 9:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6af687f548190b70ac8fa9bbbd414 completed May 3, 2026, 2:14 a.m.
NEDg Description generation batch_69f6b115720481908796955032043530 completed May 3, 2026, 2:21 a.m.
NED2 Entity disambiguation (via description) batch_69f6b1ea3d288190875888be8356da48 completed May 3, 2026, 2:24 a.m.
Created at: April 9, 2026, 5:42 p.m.