Triple

T9982897
Position Surface form Disambiguated ID Type / Status
Subject Garson Kanin E196495 entity
Predicate givenName P17 FINISHED
Object Garson
Garson is a masculine given name most notably associated with American writer and director Garson Kanin.
 E834188 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: Garson | Statement: [Garson Kanin, givenName, Garson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Garson
Context triple: [Garson Kanin, givenName, Garson]
  • A. Larimore
    Larimore is a small city in eastern North Dakota, United States, known for its rural character and proximity to Grand Forks.
  • B. Linwood
    Linwood is a residential neighborhood located within the city of Milwaukie, Oregon.
  • C. Linwood
    Linwood is a small Scottish town in Renfrewshire, near Paisley, known historically for its car manufacturing and as a residential commuter community for the Greater Glasgow area.
  • D. Winslow
    Winslow is a small historic market town in Buckinghamshire, England, known for its traditional architecture and rural surroundings.
  • E. Winslow
    Winslow is the main commercial and residential hub of Bainbridge Island, Washington, known for its downtown shops, restaurants, and ferry terminal connecting to Seattle.
  • 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: Garson
Triple: [Garson Kanin, givenName, Garson]
Generated description
Garson is a masculine given name most notably associated with American writer and director Garson Kanin.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Garson
Target entity description: Garson is a masculine given name most notably associated with American writer and director Garson Kanin.
  • A. Larimore
    Larimore is a small city in eastern North Dakota, United States, known for its rural character and proximity to Grand Forks.
  • B. Linwood
    Linwood is a small Scottish town in Renfrewshire, near Paisley, known historically for its car manufacturing and as a residential commuter community for the Greater Glasgow area.
  • C. Linwood
    Linwood is a residential neighborhood located within the city of Milwaukie, Oregon.
  • D. Winslow
    Winslow is the main commercial and residential hub of Bainbridge Island, Washington, known for its downtown shops, restaurants, and ferry terminal connecting to Seattle.
  • E. Winslow
    Winslow is a small historic market town in Buckinghamshire, England, known for its traditional architecture and rural surroundings.
  • 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_69ca82efbce081908179b4b9c65096eb completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb8bca41081909c04fb77603403b9 completed April 2, 2026, 12:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69d257f3c59481909b90896be0f3a870 completed April 5, 2026, 12:39 p.m.
NEDg Description generation batch_69d25889b0f08190a28c5401417fe3cc completed April 5, 2026, 12:41 p.m.
NED2 Entity disambiguation (via description) batch_69d25981db3c8190b7b4935cdcc1fe1c completed April 5, 2026, 12:45 p.m.
Created at: March 30, 2026, 8:49 p.m.