Triple

T4741242
Position Surface form Disambiguated ID Type / Status
Subject Caleb Murray E105245 entity
Predicate hasRelative P367 FINISHED
Object Luke Murray
Luke Murray is an American basketball coach known for his assistant coaching roles at several major college programs, including UConn.
 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: [Caleb Murray, hasRelative, Luke Murray]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Luke Murray
Context triple: [Caleb Murray, hasRelative, Luke Murray]
  • A. 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.
  • B. Tim Murray
    Tim Murray is a collegiate sports administrator best known for serving as the athletic director of the Marist Red Foxes.
  • C. Murray Bartlett
    Murray Bartlett is an Australian actor best known for his acclaimed performances in television series such as "Looking," "The White Lotus," and "The Last of Us."
  • D. Don Murray
    Don Murray is an American actor best known for his Oscar-nominated film debut in the 1956 drama "Bus Stop" opposite Marilyn Monroe.
  • E. John Dawson
    John Dawson is a fictional character named John Dawson who appears in the work featuring the character Dawn.
  • 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: [Caleb Murray, hasRelative, Luke Murray]
Generated description
Luke Murray is an American basketball coach known for his assistant coaching roles at several major college programs, including UConn.
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, including UConn.
  • A. Luke Murray chosen
    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.
  • B. Tim Murray
    Tim Murray is a collegiate sports administrator best known for serving as the athletic director of the Marist Red Foxes.
  • C. Murray Bartlett
    Murray Bartlett is an Australian actor best known for his acclaimed performances in television series such as "Looking," "The White Lotus," and "The Last of Us."
  • D. Don Murray
    Don Murray is an American actor best known for his Oscar-nominated film debut in the 1956 drama "Bus Stop" opposite Marilyn Monroe.
  • E. John Dawson
    John Dawson is a fictional character named John Dawson who appears in the work featuring the character Dawn.
  • 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_69bd43ef87a48190a5bc3600711aa032 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd64a5f3548190a6acf1dcfd64d11d completed March 20, 2026, 3:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69be3a28ca648190a44d178826926812 completed March 21, 2026, 6:26 a.m.
NEDg Description generation batch_69be3c443c6881908d1a3de22ff1380b completed March 21, 2026, 6:35 a.m.
NED2 Entity disambiguation (via description) batch_69be3d0aa1d48190a2af91d251cb5561 completed March 21, 2026, 6:39 a.m.
Created at: March 20, 2026, 1:19 p.m.