Triple

T16122554
Position Surface form Disambiguated ID Type / Status
Subject Clinic E391182 entity
Predicate hasMember P10 FINISHED
Object Carl Turney
Carl Turney is a healthcare professional associated with a medical clinic.
 E1232266 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: Carl Turney | Statement: [Clinic, hasMember, Carl Turney]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Carl Turney
Context triple: [Clinic, hasMember, Carl Turney]
  • A. Gil Turner
    Gil Turner was an American welterweight boxer active in the 1950s, known as a top contender who challenged for the world title and faced several elite fighters of his era.
  • B. Ed Turney
    Ed Turney is a technology executive best known as one of the founders of semiconductor company Advanced Micro Devices (AMD).
  • C. Ian Dunn
    Ian Dunn is a British actor known for his work in television, film, and theatre, and for being married to the late actress Emma Chambers.
  • D. Arthur Cochran
    Arthur Cochran is the central character of the television series "Perfect Harmony," portrayed as a former Princeton music professor who reluctantly leads a small-town church choir.
  • E. Peter Turner
    Peter Turner is a British actor and writer best known for his memoir about his relationship with Gloria Grahame, which was adapted into the film "Film Stars Don’t Die in Liverpool."
  • 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: Carl Turney
Triple: [Clinic, hasMember, Carl Turney]
Generated description
Carl Turney is a healthcare professional associated with a medical clinic.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Carl Turney
Target entity description: Carl Turney is a healthcare professional associated with a medical clinic.
  • A. Gil Turner
    Gil Turner was an American welterweight boxer active in the 1950s, known as a top contender who challenged for the world title and faced several elite fighters of his era.
  • B. Ed Turney
    Ed Turney is a technology executive best known as one of the founders of semiconductor company Advanced Micro Devices (AMD).
  • C. Ian Dunn
    Ian Dunn is a British actor known for his work in television, film, and theatre, and for being married to the late actress Emma Chambers.
  • D. Arthur Cochran
    Arthur Cochran is the central character of the television series "Perfect Harmony," portrayed as a former Princeton music professor who reluctantly leads a small-town church choir.
  • E. Peter Turner
    Peter Turner is a British actor and writer best known for his memoir about his relationship with Gloria Grahame, which was adapted into the film "Film Stars Don’t Die in Liverpool."
  • 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_69d87f1bb0988190b490d273dbf3fd03 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e202027e78819091192aa62aedde13 completed April 17, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00a5047a7c8190bac0ac9888547d16 completed May 10, 2026, 3:32 p.m.
NEDg Description generation batch_6a00a685753881908c3fef10823ce569 completed May 10, 2026, 3:38 p.m.
NED2 Entity disambiguation (via description) batch_6a00a7174f5c8190891ddd180c50aee3 completed May 10, 2026, 3:41 p.m.
Created at: April 10, 2026, 5 a.m.