Triple

T621898
Position Surface form Disambiguated ID Type / Status
Subject Bill Murray E14530 entity
Predicate hasChild P369 FINISHED
Object Luke Murray
Luke Murray is an American basketball coach known for his assistant coaching roles at several major college programs and as the son of actor Bill Murray.
E162186 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: Luke Murray | Statement: [Bill Murray, hasChild, Luke Murray]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luke Murray
Context triple: [Bill Murray, hasChild, Luke Murray]
  • A. John Dawson
    John Dawson was a pioneering American plasma physicist renowned for his foundational contributions to plasma theory and fusion research.
  • B. Laird Doyle
    Laird Doyle was an American screenwriter active in early Hollywood, known for adapting literary works for the screen.
  • C. Douglas Kirk
    Douglas Kirk is an individual notable enough to be recognized as a prominent bearer of the surname Kirk.
  • D. Christopher Benstead
    Christopher Benstead is a British composer and music editor known for his film scores and sound work on major movies, including collaborations with director Guy Ritchie.
  • E. Jack Mullaney
    Jack Mullaney was an American character actor known for his comedic roles in mid-20th-century film and television.
  • 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: Luke Murray
Triple: [Bill Murray, hasChild, Luke Murray]
Generated description
Luke Murray is an American basketball coach known for his assistant coaching roles at several major college programs and as the son of actor Bill Murray.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Luke Murray
Target entity description: Luke Murray is an American basketball coach known for his assistant coaching roles at several major college programs and as the son of actor Bill Murray.
  • A. John Dawson
    John Dawson was a pioneering American plasma physicist renowned for his foundational contributions to plasma theory and fusion research.
  • B. Laird Doyle
    Laird Doyle was an American screenwriter active in early Hollywood, known for adapting literary works for the screen.
  • C. Douglas Kirk
    Douglas Kirk is an individual notable enough to be recognized as a prominent bearer of the surname Kirk.
  • D. Christopher Benstead
    Christopher Benstead is a British composer and music editor known for his film scores and sound work on major movies, including collaborations with director Guy Ritchie.
  • E. Jack Mullaney
    Jack Mullaney was an American character actor known for his comedic roles in mid-20th-century film and television.
  • 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_69a4934b17c881909ace8270e8ddd202 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49e402d9c8190936896e3ebb6edc5 completed March 1, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69ace52cf51881909ab5dc361d342ce7 completed March 8, 2026, 2:55 a.m.
NEDg Description generation batch_69ace5bb634c8190889206182da1d2ed completed March 8, 2026, 2:58 a.m.
NED2 Entity disambiguation (via description) batch_69ace63be9508190b5b0e7c9d7af57f0 completed March 8, 2026, 3 a.m.
Created at: March 1, 2026, 7:35 p.m.