Triple

T1045926
Position Surface form Disambiguated ID Type / Status
Subject Greg Wise E22577 entity
Predicate givenName P17 FINISHED
Object Matthew Gregory
Matthew Gregory is the birth name of British actor Greg Wise, known for his roles in film, television, and theatre.
E163417 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: Matthew Gregory | Statement: [Greg Wise, givenName, Matthew Gregory]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matthew Gregory
Context triple: [Greg Wise, givenName, Matthew Gregory]
  • A. John Bennett
    John Bennett is the central human protagonist of the comedy film "Ted 2," known for his lifelong friendship with his foul-mouthed, living teddy bear.
  • B. John Gilroy
    John Gilroy is a film editor known for his work on major Hollywood productions, including the science-fiction monster film "Pacific Rim."
  • C. Gregory Jarvis
    Gregory Jarvis was an American engineer and astronaut who served as a payload specialist on the ill-fated Space Shuttle Challenger mission STS-51-L.
  • D. George Pardee
    George Pardee was an American physician and Progressive-era politician who served as the 21st governor of California from 1903 to 1907.
  • E. Jackson Murray
    Jackson Murray is one of actor and comedian Bill Murray’s sons, known primarily for his connection to the famed entertainer.
  • 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: Matthew Gregory
Triple: [Greg Wise, givenName, Matthew Gregory]
Generated description
Matthew Gregory is the birth name of British actor Greg Wise, known for his roles in film, television, and theatre.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Matthew Gregory
Target entity description: Matthew Gregory is the birth name of British actor Greg Wise, known for his roles in film, television, and theatre.
  • A. John Bennett
    John Bennett is the central human protagonist of the comedy film "Ted 2," known for his lifelong friendship with his foul-mouthed, living teddy bear.
  • B. John Gilroy
    John Gilroy is a film editor known for his work on major Hollywood productions, including the science-fiction monster film "Pacific Rim."
  • C. Gregory Jarvis
    Gregory Jarvis was an American engineer and astronaut who served as a payload specialist on the ill-fated Space Shuttle Challenger mission STS-51-L.
  • D. George Pardee
    George Pardee was an American physician and Progressive-era politician who served as the 21st governor of California from 1903 to 1907.
  • E. Jackson Murray
    Jackson Murray is one of actor and comedian Bill Murray’s sons, known primarily for his connection to the famed entertainer.
  • 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_69a493d91478819094cc01fb65564bc1 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b84bb0048190badf6d2f7f684d99 completed March 1, 2026, 10:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad0142faf081908cf82f2b73490947 completed March 8, 2026, 4:55 a.m.
NEDg Description generation batch_69ad020222708190a4b383a54418251a completed March 8, 2026, 4:58 a.m.
NED2 Entity disambiguation (via description) batch_69ad02a0c0ac8190b01cf36b76c702f0 completed March 8, 2026, 5:01 a.m.
Created at: March 1, 2026, 7:42 p.m.