Triple

T16064111
Position Surface form Disambiguated ID Type / Status
Subject Winsor E389689 entity
Predicate hasNotableBearer P458 FINISHED
Object Naboth Winsor
Naboth Winsor was a Canadian United Church minister and historian from Newfoundland, known for his writings on the history and culture of outport communities.
E1193459 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: Naboth Winsor | Statement: [Winsor, hasNotableBearer, Naboth Winsor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Naboth Winsor
Context triple: [Winsor, hasNotableBearer, Naboth Winsor]
  • A. Avon Bremer
    Avon Bremer is an actor known for appearing in the 1927 silent romantic comedy film "My Best Girl."
  • B. Vickery Oates
    Vickery Oates is best known as the wife of American character actor Warren Oates.
  • C. Granberry Ward
    Granberry Ward is a sibling of American actress and producer Sela Ward.
  • D. Basil Mott
    Basil Mott was a prominent British civil engineer known for his major contributions to tunnel and bridge construction in the late 19th and early 20th centuries.
  • E. Kensington Tallman
    Kensington Tallman is an American actress and voice performer best known for voicing a character in Pixar’s animated film "Inside Out 2."
  • 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: Naboth Winsor
Triple: [Winsor, hasNotableBearer, Naboth Winsor]
Generated description
Naboth Winsor was a Canadian United Church minister and historian from Newfoundland, known for his writings on the history and culture of outport communities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Naboth Winsor
Target entity description: Naboth Winsor was a Canadian United Church minister and historian from Newfoundland, known for his writings on the history and culture of outport communities.
  • A. Avon Bremer
    Avon Bremer is an actor known for appearing in the 1927 silent romantic comedy film "My Best Girl."
  • B. Vickery Oates
    Vickery Oates is best known as the wife of American character actor Warren Oates.
  • C. Granberry Ward
    Granberry Ward is a sibling of American actress and producer Sela Ward.
  • D. Basil Mott
    Basil Mott was a prominent British civil engineer known for his major contributions to tunnel and bridge construction in the late 19th and early 20th centuries.
  • E. Kensington Tallman
    Kensington Tallman is an American actress and voice performer best known for voicing a character in Pixar’s animated film "Inside Out 2."
  • 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_69d86daf32ec8190a8c0466c8f49c3c0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1837b048881908326739bbede756f completed April 17, 2026, 12:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffe47ef6648190bf1fe216e78ef660 completed May 10, 2026, 1:50 a.m.
NEDg Description generation batch_69ffe5a4edfc8190831ddf8a4601764e completed May 10, 2026, 1:55 a.m.
NED2 Entity disambiguation (via description) batch_69ffe687c204819092a4a8de0b9d624d completed May 10, 2026, 1:59 a.m.
Created at: April 10, 2026, 4:57 a.m.