Triple

T11076675
Position Surface form Disambiguated ID Type / Status
Subject Raphael Holinshed E261884 entity
Predicate employer P7 FINISHED
Object Reyner Wolfe
Reyner Wolfe was a 16th-century London printer and publisher known for employing chronicler Raphael Holinshed and for his role in early English historical and scholarly printing.
E902969 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: Reyner Wolfe | Statement: [Raphael Holinshed, employer, Reyner Wolfe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Reyner Wolfe
Context triple: [Raphael Holinshed, employer, Reyner Wolfe]
  • A. Paul Blackthorne
    Paul Blackthorne is a British actor best known for his role as Detective Quentin Lance on the television series "Arrow."
  • B. Victor Rookwood
    Victor Rookwood is a dark wizard and leader of a criminal gang who serves as one of the primary antagonists in the game *Hogwarts Legacy*.
  • C. Roderick Kinney
    Roderick Kinney is an individual notable enough to be specifically identified as a bearer of the Kinney surname.
  • D. Alex Reiger
    Alex Reiger is the level-headed, philosophical cab driver who serves as the central character in the classic television sitcom "Taxi."
  • E. George Fayne
    George Fayne is a sporty, tomboyish friend and frequent sidekick of teen sleuth Nancy Drew in the long-running mystery book series.
  • 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: Reyner Wolfe
Triple: [Raphael Holinshed, employer, Reyner Wolfe]
Generated description
Reyner Wolfe was a 16th-century London printer and publisher known for employing chronicler Raphael Holinshed and for his role in early English historical and scholarly printing.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Reyner Wolfe
Target entity description: Reyner Wolfe was a 16th-century London printer and publisher known for employing chronicler Raphael Holinshed and for his role in early English historical and scholarly printing.
  • A. Paul Blackthorne
    Paul Blackthorne is a British actor best known for his role as Detective Quentin Lance on the television series "Arrow."
  • B. Victor Rookwood
    Victor Rookwood is a dark wizard and leader of a criminal gang who serves as one of the primary antagonists in the game *Hogwarts Legacy*.
  • C. Roderick Kinney
    Roderick Kinney is an individual notable enough to be specifically identified as a bearer of the Kinney surname.
  • D. Alex Reiger
    Alex Reiger is the level-headed, philosophical cab driver who serves as the central character in the classic television sitcom "Taxi."
  • E. George Fayne
    George Fayne is a sporty, tomboyish friend and frequent sidekick of teen sleuth Nancy Drew in the long-running mystery book series.
  • 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_69d6aa9983c08190b0ef61603b69feac completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7994fcbc081908ff8f7321c0c5892 completed April 9, 2026, 12:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3c8cc77988190aad54f56dbd0f8cf completed April 18, 2026, 6:09 p.m.
NEDg Description generation batch_69e3cefcf72481909271276a2489f8dc completed April 18, 2026, 6:35 p.m.
NED2 Entity disambiguation (via description) batch_69e3d0176e9c8190b082d027ec3f4b45 completed April 18, 2026, 6:40 p.m.
Created at: April 8, 2026, 9:27 p.m.