Triple

T476097
Position Surface form Disambiguated ID Type / Status
Subject Christine Sinclair E9065 entity
Predicate familyName P18 FINISHED
Object Sinclair
Sinclair is a common Scottish-origin surname borne by numerous notable figures across sports, politics, literature, and entertainment.
 E59334 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: Sinclair | Statement: [Christine Sinclair, familyName, Sinclair]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sinclair
Context triple: [Christine Sinclair, familyName, Sinclair]
  • A. Turner
    Turner is a common English surname borne by numerous notable individuals across politics, arts, sports, and entertainment.
  • B. Elliott
    Elliott is a masculine given name of English origin, often used as both a first name and a surname.
  • C. Otis
    Otis is a globally recognized manufacturer of elevators, escalators, and moving walkways, known for pioneering vertical transportation technologies.
  • D. Winston
    Winston is a long-established American cigarette brand known for its filtered cigarettes and prominent mid-20th-century advertising campaigns.
  • E. Winston
    Winston is the given name of Winston Churchill, the British statesman who led the United Kingdom during World War II and later served again as Prime Minister.
  • 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: Sinclair
Triple: [Christine Sinclair, familyName, Sinclair]
Generated description
Sinclair is a common Scottish-origin surname borne by numerous notable figures across sports, politics, literature, and entertainment.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sinclair
Target entity description: Sinclair is a common Scottish-origin surname borne by numerous notable figures across sports, politics, literature, and entertainment.
  • A. Turner
    Turner is a common English surname borne by numerous notable individuals across politics, arts, sports, and entertainment.
  • B. Elliott
    Elliott is a masculine given name of English origin, often used as both a first name and a surname.
  • C. Otis
    Otis is a globally recognized manufacturer of elevators, escalators, and moving walkways, known for pioneering vertical transportation technologies.
  • D. Winston
    Winston is a long-established American cigarette brand known for its filtered cigarettes and prominent mid-20th-century advertising campaigns.
  • E. Winston
    Winston is the given name of Winston Churchill, the British statesman who led the United Kingdom during World War II and later served again as Prime Minister.
  • 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_69a2e7ff81708190b0507a24a997232c completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2f03b5e5081908ee3dba9d19a6871 completed Feb. 28, 2026, 1:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69a46802cf108190a71d45f1ad3262e2 completed March 1, 2026, 4:23 p.m.
NEDg Description generation batch_69a4686a1c448190943fb889cd26c715 completed March 1, 2026, 4:25 p.m.
NED2 Entity disambiguation (via description) batch_69a468c9f5008190b431bc4bd374ab78 completed March 1, 2026, 4:26 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.