Triple

T4389900
Position Surface form Disambiguated ID Type / Status
Subject Eyeless in Gaza E99336 entity
Predicate hasCharacter P2308 FINISHED
Object Brian Foxe
Brian Foxe is a character in Aldous Huxley’s novel "Eyeless in Gaza," involved in the book’s exploration of memory, morality, and personal transformation.
E435936 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: Brian Foxe | Statement: [Eyeless in Gaza, hasCharacter, Brian Foxe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brian Foxe
Context triple: [Eyeless in Gaza, hasCharacter, Brian Foxe]
  • A. Robert Fox
    Robert Fox is a British film and theatre producer known for his work on acclaimed stage and screen productions.
  • B. Franklin Martin
    Franklin Martin was an American physician and medical leader best known for founding the American Cancer Society.
  • C. John Bacon
    John Bacon is a name shared by several notable individuals, including historical figures in politics, religion, and the arts.
  • D. Jack Frederick Kilpatrick
    Jack Frederick Kilpatrick was an American composer and musicologist known for his work in Native American music and contributions to ethnomusicology.
  • E. Joe Foy
    Joe Foy was a Major League Baseball third baseman best known for his productive seasons in the late 1960s, particularly with the Boston Red Sox and Kansas City Royals.
  • 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: Brian Foxe
Triple: [Eyeless in Gaza, hasCharacter, Brian Foxe]
Generated description
Brian Foxe is a character in Aldous Huxley’s novel "Eyeless in Gaza," involved in the book’s exploration of memory, morality, and personal transformation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Brian Foxe
Target entity description: Brian Foxe is a character in Aldous Huxley’s novel "Eyeless in Gaza," involved in the book’s exploration of memory, morality, and personal transformation.
  • A. Robert Fox
    Robert Fox is a British film and theatre producer known for his work on acclaimed stage and screen productions.
  • B. Franklin Martin
    Franklin Martin was an American physician and medical leader best known for founding the American Cancer Society.
  • C. John Bacon
    John Bacon is a name shared by several notable individuals, including historical figures in politics, religion, and the arts.
  • D. Jack Frederick Kilpatrick
    Jack Frederick Kilpatrick was an American composer and musicologist known for his work in Native American music and contributions to ethnomusicology.
  • E. Joe Foy
    Joe Foy was a Major League Baseball third baseman best known for his productive seasons in the late 1960s, particularly with the Boston Red Sox and Kansas City Royals.
  • 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_69b3454f739481909ff6c28331f0c0b9 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35282cb2c8190856da20bb87e88ff completed March 12, 2026, 11:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5e52d63c08190bc98c090cfe0ff1c completed March 14, 2026, 10:46 p.m.
NEDg Description generation batch_69b5e5b3ba208190b6cb5e40f9e744e8 completed March 14, 2026, 10:48 p.m.
NED2 Entity disambiguation (via description) batch_69b5e62af694819086b3eddb71f591d2 completed March 14, 2026, 10:50 p.m.
Created at: March 12, 2026, 11:19 p.m.