Triple

T8787055
Position Surface form Disambiguated ID Type / Status
Subject Elbow E209068 entity
Predicate hasMember P10 FINISHED
Object Craig Potter
Craig Potter is the keyboardist and producer for the English alternative rock band Elbow.
E758578 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: Craig Potter | Statement: [Elbow, hasMember, Craig Potter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Craig Potter
Context triple: [Elbow, hasMember, Craig Potter]
  • A. Mark Potter
    Mark Potter is the guitarist for the English alternative rock band Elbow.
  • B. Peter De Potter
    Peter De Potter is a Belgian visual artist and graphic designer known for his conceptual, text-driven imagery and collaborations with musicians and fashion brands.
  • C. Peter Mathieson
    Peter Mathieson is a British nephrologist and academic leader who has served as principal and vice-chancellor of major universities, including the University of Edinburgh and the University of Hong Kong.
  • D. Jack Potter
    Jack Potter is the central character of Stephen Crane's short story "The Bride Comes to Yellow Sky," a small-town marshal whose secret marriage disrupts the expectations of his rough Western community.
  • E. Michael Potts
    Michael Potts is an American actor known for his work in film, television, and theater, including notable roles in projects like "The Wire," "True Detective," and various Broadway productions.
  • 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: Craig Potter
Triple: [Elbow, hasMember, Craig Potter]
Generated description
Craig Potter is the keyboardist and producer for the English alternative rock band Elbow.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Craig Potter
Target entity description: Craig Potter is the keyboardist and producer for the English alternative rock band Elbow.
  • A. Mark Potter
    Mark Potter is the guitarist for the English alternative rock band Elbow.
  • B. Peter De Potter
    Peter De Potter is a Belgian visual artist and graphic designer known for his conceptual, text-driven imagery and collaborations with musicians and fashion brands.
  • C. Peter Mathieson
    Peter Mathieson is a British nephrologist and academic leader who has served as principal and vice-chancellor of major universities, including the University of Edinburgh and the University of Hong Kong.
  • D. Jack Potter
    Jack Potter is the central character of Stephen Crane's short story "The Bride Comes to Yellow Sky," a small-town marshal whose secret marriage disrupts the expectations of his rough Western community.
  • E. Michael Potts
    Michael Potts is an American actor known for his work in film, television, and theater, including notable roles in projects like "The Wire," "True Detective," and various Broadway productions.
  • 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_69ca836168108190bb43d3dc235c1f55 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5f76f27c819087aadf768df5adbf completed March 31, 2026, 11:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf6f3eff908190909e6beb3df0e106 completed April 3, 2026, 7:41 a.m.
NEDg Description generation batch_69cf7101b0088190843affad2474eb32 completed April 3, 2026, 7:49 a.m.
NED2 Entity disambiguation (via description) batch_69cf725ebb4c8190be3b19e9c5e854ac completed April 3, 2026, 7:55 a.m.
Created at: March 30, 2026, 6:43 p.m.