Triple

T12613481
Position Surface form Disambiguated ID Type / Status
Subject Fearless E301186 entity
Predicate executiveProducer P7225 FINISHED
Object Michele Buck
Michele Buck is a British television producer best known for her work on popular drama series such as "Agatha Christie's Marple" and "Endeavour."
 E513652 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: Michele Buck | Statement: [Fearless, executiveProducer, Michele Buck]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Michele Buck
Context triple: [Fearless, executiveProducer, Michele Buck]
  • A. Michele Buck
    Michele Buck is a British television producer best known for her work on popular drama series such as "Agatha Christie's Marple" and "Poirot."
  • B. Michele Gossett
    Michele Gossett is known as the wife of American actor Robert Gossett.
  • C. Dennis McAuliffe
    Dennis McAuliffe is a journalist and author known for his work on Native American issues and his book investigating the mysterious death of his Osage grandmother.
  • D. Jim Mullen
    Jim Mullen is a Scottish jazz guitarist renowned for his soulful, groove-oriented playing and collaborations with leading British jazz and fusion artists.
  • E. Michael Tucker
    Michael Tucker is an American actor best known for his work in film, television, and theater, including roles in projects like the Woody Allen film "Radio Days" and the TV series "L.A. Law."
  • 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: Michele Buck
Triple: [Fearless, executiveProducer, Michele Buck]
Generated description
Michele Buck is a British television producer best known for her work on popular drama series such as "Agatha Christie's Marple" and "Endeavour."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Michele Buck
Target entity description: Michele Buck is a British television producer best known for her work on popular drama series such as "Agatha Christie's Marple" and "Endeavour."
  • A. Michele Buck chosen
    Michele Buck is a British television producer best known for her work on popular drama series such as "Agatha Christie's Marple" and "Poirot."
  • B. Michele Gossett
    Michele Gossett is known as the wife of American actor Robert Gossett.
  • C. Dennis McAuliffe
    Dennis McAuliffe is a journalist and author known for his work on Native American issues and his book investigating the mysterious death of his Osage grandmother.
  • D. Jim Mullen
    Jim Mullen is a Scottish jazz guitarist renowned for his soulful, groove-oriented playing and collaborations with leading British jazz and fusion artists.
  • E. Michael Tucker
    Michael Tucker is an American actor best known for his work in film, television, and theater, including roles in projects like the Woody Allen film "Radio Days" and the TV series "L.A. Law."
  • 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_69d7bdeaf49c8190b13800111fa77ea3 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d960c2e5b88190a7cc16002b218d8a completed April 10, 2026, 8:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69f684daedc88190adc403f27a850b7a completed May 2, 2026, 11:12 p.m.
NEDg Description generation batch_69f685dac5cc8190b4bc2d81186c9266 completed May 2, 2026, 11:16 p.m.
NED2 Entity disambiguation (via description) batch_69f6869156048190b548ecd04561deb8 completed May 2, 2026, 11:19 p.m.
Created at: April 9, 2026, 5:12 p.m.