Triple

T14365624
Position Surface form Disambiguated ID Type / Status
Subject Louie Anderson E356224 entity
Predicate awardReceivedFor P107 FINISHED
Object Baskets E909121 NE FINISHED

How this triple was built (2 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: Baskets | Statement: [Louie Anderson, awardReceivedFor, Baskets]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baskets
Context triple: [Louie Anderson, awardReceivedFor, Baskets]
  • A. Baskets chosen
    Baskets is a dark comedy television series co-created by and starring Zach Galifianakis, following a failed professional clown navigating family, work, and identity in Bakersfield, California.
  • B. Sneakers
    "Sneakers" is a 1992 comedic heist thriller film about a team of security experts who become entangled in espionage over a powerful code-breaking device.
  • C. Scarpe
    The Scarpe is a river in northern France that flows through the Artois and Nord regions before joining the Scheldt.
  • D. Shoe
    Shoe is a satirical comic strip created by cartoonist Jeff MacNelly that centers on anthropomorphic bird characters working in a newsroom.
  • E. The Basket
    The Basket is a 1999 family sports drama film set in rural America during World War I, focusing on a new teacher who introduces basketball to unite a divided community.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d8279163a081908aec45c0e3f1e02f completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8fad48748190a0f34ca4d02f9a3c completed April 14, 2026, 7:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd550e677c8190837c3b9ccb64f0cd completed May 8, 2026, 3:14 a.m.
Created at: April 10, 2026, 1:15 a.m.