Triple

T17170739
Position Surface form Disambiguated ID Type / Status
Subject Margo Lion E416724 entity
Predicate notableWork P4 FINISHED
Object Radio Golf E414016 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: Radio Golf | Statement: [Margo Lion, notableWork, Radio Golf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Radio Golf
Context triple: [Margo Lion, notableWork, Radio Golf]
  • A. Radio Golf chosen
    Radio Golf is a play by August Wilson that concludes his ten-play Pittsburgh Cycle, exploring African American life and history through the story of an ambitious Black politician and real estate developer in 1990s Pittsburgh.
  • B. Mario Golf
    Mario Golf is a sports video game series that combines golf gameplay with characters and elements from Nintendo’s Mario franchise.
  • C. Golf 20/20
    Golf 20/20 is an initiative of the World Golf Foundation focused on growing and promoting the game of golf through industry-wide collaboration and strategic programs.
  • D. Golf Galaxy
    Golf Galaxy is a U.S.-based specialty retail chain focused on golf equipment, apparel, and accessories.
  • E. Professor WEM’s Adventure Golf
    Professor WEM’s Adventure Golf is a themed indoor miniature golf course located inside West Edmonton Mall, offering family-friendly entertainment with whimsical obstacles and décor.
  • 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_69d886d5f34c8190b24564dfaa63f3fb completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3fc097950819095631ee5679e03af completed April 18, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a015fc83984819098c98b75cf021e3a completed May 11, 2026, 4:49 a.m.
Created at: April 10, 2026, 5:37 a.m.