Triple

T19858505
Position Surface form Disambiguated ID Type / Status
Subject John Banville E477197 entity
Predicate penName P3799 FINISHED
Object Benjamin Black
Benjamin Black is the crime-writing pseudonym of Irish novelist John Banville, under which he publishes noir-inflected mystery fiction.
 E1398166 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: Benjamin Black | Statement: [John Banville, penName, Benjamin Black]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Benjamin Black
Context triple: [John Banville, penName, Benjamin Black]
  • A. Stephen Donoghue
    Stephen Donoghue is a literary critic and book reviewer known for his prolific online reviews and commentary on contemporary and classic literature.
  • B. John Connolly
    John Connolly was a real-life FBI agent in Boston notorious for his corrupt relationship with mobster Whitey Bulger, a story dramatized in the film "Black Mass."
  • C. John Connolly
    John Connolly is an Irish author best known for his crime fiction series featuring private detective Charlie Parker.
  • D. Dermot Povey
    Dermot Povey is a fictional character from the British sitcom "Men Behaving Badly," known as one of the show's central male leads.
  • E. John Crowley
    John Crowley is an Irish film and theatre director best known for acclaimed dramas such as "Brooklyn" and "Boy A."
  • 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: Benjamin Black
Triple: [John Banville, penName, Benjamin Black]
Generated description
Benjamin Black is the crime-writing pseudonym of Irish novelist John Banville, under which he publishes noir-inflected mystery fiction.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Benjamin Black
Target entity description: Benjamin Black is the crime-writing pseudonym of Irish novelist John Banville, under which he publishes noir-inflected mystery fiction.
  • A. Stephen Donoghue
    Stephen Donoghue is a literary critic and book reviewer known for his prolific online reviews and commentary on contemporary and classic literature.
  • B. John Connolly
    John Connolly was a real-life FBI agent in Boston notorious for his corrupt relationship with mobster Whitey Bulger, a story dramatized in the film "Black Mass."
  • C. John Connolly
    John Connolly is an Irish author best known for his crime fiction series featuring private detective Charlie Parker.
  • D. Dermot Povey
    Dermot Povey is a fictional character from the British sitcom "Men Behaving Badly," known as one of the show's central male leads.
  • E. John Crowley
    John Crowley is an Irish film and theatre director best known for acclaimed dramas such as "Brooklyn" and "Boy A."
  • 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_69d8e51e7d948190aedbcd6c30361c39 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6586dbbf0819089e7157d416aeaaf completed April 20, 2026, 4:46 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07d445b4c481908a444d5047b3e403 completed May 16, 2026, 2:19 a.m.
NEDg Description generation batch_6a07d50359f08190bafa8865168ee0b4 completed May 16, 2026, 2:22 a.m.
NED2 Entity disambiguation (via description) batch_6a07d5d7c4bc8190ab189fa556a956d7 completed May 16, 2026, 2:26 a.m.
Created at: April 10, 2026, 1:51 p.m.