Triple

T17697977
Position Surface form Disambiguated ID Type / Status
Subject Wally Westmore E441221 entity
Predicate familyName P18 FINISHED
Object Westmore
Westmore is a surname most prominently associated with a renowned Hollywood family of makeup artists who helped define cinematic makeup in the 20th century.
 E1282607 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: Westmore | Statement: [Wally Westmore, familyName, Westmore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Westmore
Context triple: [Wally Westmore, familyName, Westmore]
  • A. Westvale
    Westvale is a residential area in the town of Kirkby in Merseyside, England.
  • B. Weston
    Weston is a surname of English origin borne by various notable individuals across fields such as literature, business, and the arts.
  • C. Weston
    Weston is the reference Wayland compositor used to demonstrate and test the Wayland display server protocol.
  • D. Weston
    Weston is a historic residential neighbourhood in the former city of York, now part of Toronto, Ontario, known for its village-like character and location along the Humber River.
  • E. Weston
    Weston is a small, affluent residential town in Fairfield County, southwestern Connecticut, known for its rural character, extensive open space, and highly ranked public schools.
  • 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: Westmore
Triple: [Wally Westmore, familyName, Westmore]
Generated description
Westmore is a surname most prominently associated with a renowned Hollywood family of makeup artists who helped define cinematic makeup in the 20th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Westmore
Target entity description: Westmore is a surname most prominently associated with a renowned Hollywood family of makeup artists who helped define cinematic makeup in the 20th century.
  • A. Westvale
    Westvale is a residential area in the town of Kirkby in Merseyside, England.
  • B. Weston
    Weston is a surname of English origin borne by various notable individuals across fields such as literature, business, and the arts.
  • C. Weston
    Weston is a suburban town in eastern Massachusetts known for its residential character, conservation land, and commuter access to Boston.
  • D. Weston
    Weston is a historic residential neighbourhood in the former city of York, now part of Toronto, Ontario, known for its village-like character and location along the Humber River.
  • E. Weston
    Weston is a small, affluent residential town in Fairfield County, southwestern Connecticut, known for its rural character, extensive open space, and highly ranked public schools.
  • 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_69d8b9ea20b48190ace88bb46b01e6a9 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e47157fd688190ba990eaf46ceab01 completed April 19, 2026, 6:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0223365be08190992b1e80553aebcc completed May 11, 2026, 6:43 p.m.
NEDg Description generation batch_6a0224af2c7c819095b771014f36d0e4 completed May 11, 2026, 6:49 p.m.
NED2 Entity disambiguation (via description) batch_6a02259ef96881909660d18a4a149f8f completed May 11, 2026, 6:53 p.m.
Created at: April 10, 2026, 10:04 a.m.