Triple

T17532987
Position Surface form Disambiguated ID Type / Status
Subject Toni Minichiello E426984 entity
Predicate coachOf P2169 FINISHED
Object Louise Bloor
Louise Bloor is a British sprinter who has competed at national and international level in short-distance track events.
E1273778 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: Louise Bloor | Statement: [Toni Minichiello, coachOf, Louise Bloor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Louise Bloor
Context triple: [Toni Minichiello, coachOf, Louise Bloor]
  • A. Louise Nicholl
    Louise Nicholl is a notable individual recognized for bearing the surname Nicholl.
  • B. Louise Barnsley
    Louise Barnsley is a central character in the psychological thriller series "Behind Her Eyes," known for becoming entangled in a dangerous love triangle and a web of dark secrets.
  • C. Clarissa Luard
    Clarissa Luard was a British literary editor and arts administrator known for her work supporting contemporary writers and for her marriage to novelist Salman Rushdie.
  • D. Lucy Lyster
    Lucy Lyster is a British producer and the wife of comedian and actor Harry Enfield.
  • E. Louise Saunders
    Louise Saunders was an American writer and playwright best known for her marriage to influential editor Maxwell Perkins and for authoring children’s literature and stage works in the early 20th century.
  • 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: Louise Bloor
Triple: [Toni Minichiello, coachOf, Louise Bloor]
Generated description
Louise Bloor is a British sprinter who has competed at national and international level in short-distance track events.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Louise Bloor
Target entity description: Louise Bloor is a British sprinter who has competed at national and international level in short-distance track events.
  • A. Louise Nicholl
    Louise Nicholl is a notable individual recognized for bearing the surname Nicholl.
  • B. Louise Barnsley
    Louise Barnsley is a central character in the psychological thriller series "Behind Her Eyes," known for becoming entangled in a dangerous love triangle and a web of dark secrets.
  • C. Clarissa Luard
    Clarissa Luard was a British literary editor and arts administrator known for her work supporting contemporary writers and for her marriage to novelist Salman Rushdie.
  • D. Lucy Lyster
    Lucy Lyster is a British producer and the wife of comedian and actor Harry Enfield.
  • E. Louise Saunders
    Louise Saunders was an American writer and playwright best known for her marriage to influential editor Maxwell Perkins and for authoring children’s literature and stage works in the early 20th century.
  • 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_69d889de677081909b22d2657b1f0292 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4536a0f588190ade91d32308897a0 completed April 19, 2026, 4 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01c94e4e208190a241ea586d3f3a38 completed May 11, 2026, 12:19 p.m.
NEDg Description generation batch_6a01ca84f3388190aa2eda694f91a17b completed May 11, 2026, 12:24 p.m.
NED2 Entity disambiguation (via description) batch_6a01cb0b3cec8190afc6cf6dd1e4d896 completed May 11, 2026, 12:26 p.m.
Created at: April 10, 2026, 5:49 a.m.