Triple

T6621690
Position Surface form Disambiguated ID Type / Status
Subject Bishop of Woolwich E149688 entity
Predicate titleHeldBy P13335 FINISHED
Object Michael Marshall
Michael Marshall is an Anglican clergyman who served as the Bishop of Woolwich in the Church of England.
E614087 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: Michael Marshall | Statement: [Bishop of Woolwich, titleHeldBy, Michael Marshall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Marshall
Context triple: [Bishop of Woolwich, titleHeldBy, Michael Marshall]
  • A. Alan Marshall
    Alan Marshall is a British film producer known for his work on notable movies including the musical gangster film "Bugsy Malone."
  • B. Richard Martin Lloyd Walters
    Richard Martin Lloyd Walters, better known as Slick Rick, is a pioneering British-American rapper famed for his storytelling style and influential role in the golden age of hip hop.
  • C. John Hull
    John Hull was a prominent 17th-century Boston merchant, silversmith, and colonial official best known for serving as the Massachusetts Bay Colony’s mintmaster.
  • D. Jon Wright
    Jon Wright is a British entrepreneur best known as one of the co-founders of the smoothie and juice company Innocent Drinks.
  • E. Roger Neill
    Roger Neill is an American composer best known for his film and television scores, including his work on the acclaimed drama "20th Century Women."
  • 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: Michael Marshall
Triple: [Bishop of Woolwich, titleHeldBy, Michael Marshall]
Generated description
Michael Marshall is an Anglican clergyman who served as the Bishop of Woolwich in the Church of England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Michael Marshall
Target entity description: Michael Marshall is an Anglican clergyman who served as the Bishop of Woolwich in the Church of England.
  • A. Alan Marshall
    Alan Marshall is a British film producer known for his work on notable movies including the musical gangster film "Bugsy Malone."
  • B. Richard Martin Lloyd Walters
    Richard Martin Lloyd Walters, better known as Slick Rick, is a pioneering British-American rapper famed for his storytelling style and influential role in the golden age of hip hop.
  • C. John Hull
    John Hull was a prominent 17th-century Boston merchant, silversmith, and colonial official best known for serving as the Massachusetts Bay Colony’s mintmaster.
  • D. Jon Wright
    Jon Wright is a British entrepreneur best known as one of the co-founders of the smoothie and juice company Innocent Drinks.
  • E. Roger Neill
    Roger Neill is an American composer best known for his film and television scores, including his work on the acclaimed drama "20th Century Women."
  • 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_69c687ed8a9c81908bb671717cb192ef completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6af7ccaa481908b383b4fd671fa78 completed March 27, 2026, 4:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7006cf9e881908a7cb7a8209ed7d2 completed March 27, 2026, 10:10 p.m.
NEDg Description generation batch_69c705d7059c8190a8b5e39cc2a2cde9 completed March 27, 2026, 10:33 p.m.
NED2 Entity disambiguation (via description) batch_69c7063c496c8190a5b2fa40cb4c6768 completed March 27, 2026, 10:35 p.m.
Created at: March 27, 2026, 1:58 p.m.