Triple

T8708123
Position Surface form Disambiguated ID Type / Status
Subject Risk E206702 entity
Predicate mainCharacter P1183 FINISHED
Object Gerald Black
Gerald Black is the central protagonist of the work titled "Risk," around whom the story’s primary events and conflicts revolve.
 E753576 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: Gerald Black | Statement: [Risk, mainCharacter, Gerald Black]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gerald Black
Context triple: [Risk, mainCharacter, Gerald Black]
  • A. Gerald Crich
    Gerald Crich is a wealthy, conflicted industrialist and one of the central male characters in D. H. Lawrence’s novel "Women in Love."
  • B. John D. F. Black
    John D. F. Black was an American screenwriter and producer best known for his work on influential 1970s film and television projects, including contributions to the crime and science fiction genres.
  • C. Ronald Black
    Ronald Black is the brother of American stand-up comedian and social critic Lewis Black.
  • D. Neil Black
    Neil Black was a distinguished British oboist renowned for his solo performances, chamber music collaborations, and influential recordings in the mid-20th century.
  • E. Bob Blackman
    Bob Blackman is a British Conservative Party politician and Member of Parliament known for representing a London constituency and his work on housing and homelessness issues.
  • 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: Gerald Black
Triple: [Risk, mainCharacter, Gerald Black]
Generated description
Gerald Black is the central protagonist of the work titled "Risk," around whom the story’s primary events and conflicts revolve.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gerald Black
Target entity description: Gerald Black is the central protagonist of the work titled "Risk," around whom the story’s primary events and conflicts revolve.
  • A. Gerald Crich
    Gerald Crich is a wealthy, conflicted industrialist and one of the central male characters in D. H. Lawrence’s novel "Women in Love."
  • B. John D. F. Black
    John D. F. Black was an American screenwriter and producer best known for his work on influential 1970s film and television projects, including contributions to the crime and science fiction genres.
  • C. Ronald Black
    Ronald Black is the brother of American stand-up comedian and social critic Lewis Black.
  • D. Neil Black
    Neil Black was a distinguished British oboist renowned for his solo performances, chamber music collaborations, and influential recordings in the mid-20th century.
  • E. Bob Blackman
    Bob Blackman is a British Conservative Party politician and Member of Parliament known for representing a London constituency and his work on housing and homelessness issues.
  • 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_69ca835645e881908f00e3c8b51da81d completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc58ffa6a481908866b6239d1d9b92 completed March 31, 2026, 11:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf28b78e90819098ab1d4877ab88fe completed April 3, 2026, 2:40 a.m.
NEDg Description generation batch_69cf2bd14c3c8190b43840ee57cca22c completed April 3, 2026, 2:54 a.m.
NED2 Entity disambiguation (via description) batch_69cf2cb3c4308190971fb3d25064f205 completed April 3, 2026, 2:57 a.m.
Created at: March 30, 2026, 6:35 p.m.