Triple

T21722230
Position Surface form Disambiguated ID Type / Status
Subject Graham Bonnet E536187 entity
Predicate familyName P18 FINISHED
Object Bonnet
Bonnet is a surname of French origin borne by various notable individuals, including musicians, athletes, and public figures.
E1498754 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: Bonnet | Statement: [Graham Bonnet, familyName, Bonnet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bonnet
Context triple: [Graham Bonnet, familyName, Bonnet]
  • A. Glengarry bonnet
    The Glengarry bonnet is a traditional Scottish cap, typically creased and boat-shaped with ribbons at the back, commonly worn as part of Highland military and ceremonial dress.
  • B. Bleret
    Bleret is a locality or district within the municipality of Waremme in the province of Liège, Belgium.
  • C. Leopard-Skin Pill-Box Hat
    "Leopard-Skin Pill-Box Hat" is a satirical, blues-inflected song by Bob Dylan, noted for its surreal humor and biting critique of fashion and superficiality.
  • D. Scarf
    Scarf is a long piece of fabric worn around the neck, head, or shoulders for warmth, sun protection, cleanliness, fashion, or religious reasons.
  • E. Bündchen
    Bündchen is the German-origin surname most famously borne by Brazilian supermodel Gisele Bündchen.
  • 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: Bonnet
Triple: [Graham Bonnet, familyName, Bonnet]
Generated description
Bonnet is a surname of French origin borne by various notable individuals, including musicians, athletes, and public figures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bonnet
Target entity description: Bonnet is a surname of French origin borne by various notable individuals, including musicians, athletes, and public figures.
  • A. Glengarry bonnet
    The Glengarry bonnet is a traditional Scottish cap, typically creased and boat-shaped with ribbons at the back, commonly worn as part of Highland military and ceremonial dress.
  • B. Bleret
    Bleret is a locality or district within the municipality of Waremme in the province of Liège, Belgium.
  • C. Leopard-Skin Pill-Box Hat
    "Leopard-Skin Pill-Box Hat" is a satirical, blues-inflected song by Bob Dylan, noted for its surreal humor and biting critique of fashion and superficiality.
  • D. Scarf
    Scarf is a long piece of fabric worn around the neck, head, or shoulders for warmth, sun protection, cleanliness, fashion, or religious reasons.
  • E. Bündchen
    Bündchen is the German-origin surname most famously borne by Brazilian supermodel Gisele Bündchen.
  • 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_69e0c46c6dd88190a595375fa6ebd701 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69efd97032c08190820b87a288e77293 completed April 27, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a24b98e6c8190a2afff6b11c78963 completed May 17, 2026, 8:27 p.m.
NEDg Description generation batch_6a0a28d08738819081084d9d1c91e6ef completed May 17, 2026, 8:45 p.m.
NED2 Entity disambiguation (via description) batch_6a0a2c3a1fc481908c46c86bc6bda9fa completed May 17, 2026, 8:59 p.m.
Created at: April 16, 2026, 6:47 p.m.