Triple

T15392629
Position Surface form Disambiguated ID Type / Status
Subject Mac Taylor E368085 entity
Predicate spouse P13 FINISHED
Object Claire Taylor
Claire Taylor is a character in the television series "CSI: NY," known primarily as the late wife of lead character Mac Taylor.
E1155376 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: Claire Taylor | Statement: [Mac Taylor, spouse, Claire Taylor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Claire Taylor
Context triple: [Mac Taylor, spouse, Claire Taylor]
  • A. Claire Rushbrook
    Claire Rushbrook is an English actress known for her work in film, television, and theatre, including prominent roles in British dramas and period pieces.
  • B. Claire Wright
    Claire Wright is known as the wife of Tom Wright, a prominent British New Testament scholar and former Bishop of Durham.
  • C. Claire Holland
    Claire Holland is the wife of Welsh actor and comedian Rob Brydon, known for maintaining a largely private life outside of his public career.
  • D. Claire Jennings
    Claire Jennings is a British film producer known for her work on acclaimed independent and genre films, including the 2017 psychological thriller "Breathe."
  • E. Claire Jordan
    Claire Jordan is a central fictional character from the film "Guns of Darkness," around whom much of the story’s drama and conflict revolves.
  • 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: Claire Taylor
Triple: [Mac Taylor, spouse, Claire Taylor]
Generated description
Claire Taylor is a character in the television series "CSI: NY," known primarily as the late wife of lead character Mac Taylor.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Claire Taylor
Target entity description: Claire Taylor is a character in the television series "CSI: NY," known primarily as the late wife of lead character Mac Taylor.
  • A. Claire Rushbrook
    Claire Rushbrook is an English actress known for her work in film, television, and theatre, including prominent roles in British dramas and period pieces.
  • B. Claire Wright
    Claire Wright is known as the wife of Tom Wright, a prominent British New Testament scholar and former Bishop of Durham.
  • C. Claire Holland
    Claire Holland is the wife of Welsh actor and comedian Rob Brydon, known for maintaining a largely private life outside of his public career.
  • D. Claire Jennings
    Claire Jennings is a British film producer known for her work on acclaimed independent and genre films, including the 2017 psychological thriller "Breathe."
  • E. Claire Jordan
    Claire Jordan is a central fictional character from the film "Guns of Darkness," around whom much of the story’s drama and conflict revolves.
  • 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_69d85a1551a08190ba2caea7cd51c639 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e7838b48190862b43c6c8620692 completed April 16, 2026, 1:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff1350699c8190acf7830d88455851 completed May 9, 2026, 10:58 a.m.
NEDg Description generation batch_69ff17c6837c8190a2b6fa1ac9c3de01 completed May 9, 2026, 11:17 a.m.
NED2 Entity disambiguation (via description) batch_69ff184d63e88190906689e14cfc8933 completed May 9, 2026, 11:19 a.m.
Created at: April 10, 2026, 3:19 a.m.