Triple

T9059483
Position Surface form Disambiguated ID Type / Status
Subject Tim Kingsbury E217084 entity
Predicate associatedAct P37 FINISHED
Object Sam Patch
Sam Patch is an indie rock band best known as a side project of Arcade Fire bassist Tim Kingsbury.
E774840 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: Sam Patch | Statement: [Tim Kingsbury, associatedAct, Sam Patch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sam Patch
Context triple: [Tim Kingsbury, associatedAct, Sam Patch]
  • A. Pecos Bill
    Pecos Bill is a legendary cowboy folk hero of the American West, popularized in tall tales and later adapted in various media as an exaggerated symbol of frontier bravado and humor.
  • B. Buster Brown
    Buster Brown was an influential American tap dancer and performer known for his smooth style, improvisational brilliance, and mentorship of later tap greats.
  • C. Peg-Leg Pete
    Peg-Leg Pete is a classic Disney cartoon villain, best known as Mickey Mouse’s burly, antagonistic foe and one of the studio’s oldest recurring characters.
  • D. Jeremiah Day
    Jeremiah Day was an American academic who served as the long-time president of Yale College in the early 19th century.
  • E. Herman Teppis
    Herman Teppis is the central figure in Norman Mailer’s novel "The Deer Park," around whom the book’s exploration of postwar American decadence and moral ambiguity revolves.
  • 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: Sam Patch
Triple: [Tim Kingsbury, associatedAct, Sam Patch]
Generated description
Sam Patch is an indie rock band best known as a side project of Arcade Fire bassist Tim Kingsbury.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sam Patch
Target entity description: Sam Patch is an indie rock band best known as a side project of Arcade Fire bassist Tim Kingsbury.
  • A. Pecos Bill
    Pecos Bill is a legendary cowboy folk hero of the American West, popularized in tall tales and later adapted in various media as an exaggerated symbol of frontier bravado and humor.
  • B. Buster Brown
    Buster Brown was an influential American tap dancer and performer known for his smooth style, improvisational brilliance, and mentorship of later tap greats.
  • C. Peg-Leg Pete
    Peg-Leg Pete is a classic Disney cartoon villain, best known as Mickey Mouse’s burly, antagonistic foe and one of the studio’s oldest recurring characters.
  • D. Jeremiah Day
    Jeremiah Day was an American academic who served as the long-time president of Yale College in the early 19th century.
  • E. Herman Teppis
    Herman Teppis is the central figure in Norman Mailer’s novel "The Deer Park," around whom the book’s exploration of postwar American decadence and moral ambiguity revolves.
  • 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_69ca83d4425481909a319dab847724ec completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc7eca6d8c8190b1a11a60d6649f78 completed April 1, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfebeceab88190b1f4bc0bc6a4c389 completed April 3, 2026, 4:33 p.m.
NEDg Description generation batch_69cfed5cce7481908f1d2aec827bee3a completed April 3, 2026, 4:39 p.m.
NED2 Entity disambiguation (via description) batch_69cfee51f2348190825080046650836b completed April 3, 2026, 4:44 p.m.
Created at: March 30, 2026, 7:10 p.m.