Triple

T20226725
Position Surface form Disambiguated ID Type / Status
Subject Peace E495402 entity
Predicate hasNotableBearer P458 FINISHED
Object Robin Peace
Robin Peace is a New Zealand academic and social scientist known for her work in social policy, disability studies, and research ethics.
E1419497 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: Robin Peace | Statement: [Peace, hasNotableBearer, Robin Peace]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robin Peace
Context triple: [Peace, hasNotableBearer, Robin Peace]
  • A. Winston Silver
    Winston Silver is a lighter, lower-tar and nicotine variant of the Winston brand of cigarettes.
  • B. Officer Bobby Hill
    Officer Bobby Hill is a central police officer character from the television drama "Hill Street Blues," known for his streetwise demeanor and partnership with fellow officers in an urban precinct.
  • C. Ben Cooper
    Ben Cooper was an American film and television actor best known for his roles in 1950s Westerns and classic Hollywood productions.
  • D. Van McCoy
    Van McCoy was an American disco and soul songwriter, producer, and arranger best known for his 1975 hit single "The Hustle."
  • E. Cicero Grimes
    Cicero Grimes is a character from the Western film "Hombre," known for his role in the story’s tense frontier conflict.
  • 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: Robin Peace
Triple: [Peace, hasNotableBearer, Robin Peace]
Generated description
Robin Peace is a New Zealand academic and social scientist known for her work in social policy, disability studies, and research ethics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Robin Peace
Target entity description: Robin Peace is a New Zealand academic and social scientist known for her work in social policy, disability studies, and research ethics.
  • A. Winston Silver
    Winston Silver is a lighter, lower-tar and nicotine variant of the Winston brand of cigarettes.
  • B. Officer Bobby Hill
    Officer Bobby Hill is a central police officer character from the television drama "Hill Street Blues," known for his streetwise demeanor and partnership with fellow officers in an urban precinct.
  • C. Ben Cooper
    Ben Cooper was an American film and television actor best known for his roles in 1950s Westerns and classic Hollywood productions.
  • D. Van McCoy
    Van McCoy was an American disco and soul songwriter, producer, and arranger best known for his 1975 hit single "The Hustle."
  • E. Cicero Grimes
    Cicero Grimes is a character from the Western film "Hombre," known for his role in the story’s tense frontier conflict.
  • 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_69da626cff80819097b530718a7c98b6 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66fda9428819098467e7e8c547a07 completed April 20, 2026, 6:26 p.m.
NED1 Entity disambiguation (via context triple) batch_6a084b887c6081908fc79047cf4f73c6 completed May 16, 2026, 10:48 a.m.
NEDg Description generation batch_6a084c6561ec8190b1eee3d94aeb5009 completed May 16, 2026, 10:52 a.m.
NED2 Entity disambiguation (via description) batch_6a084d0ac2f881909be142d6b30cc9ec completed May 16, 2026, 10:55 a.m.
Created at: April 11, 2026, 11:39 p.m.