Triple

T11666924
Position Surface form Disambiguated ID Type / Status
Subject The Big Store E277272 entity
Predicate storyBy P1955 FINISHED
Object Ray Golden E939345 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: Ray Golden | Statement: [The Big Store, storyBy, Ray Golden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ray Golden
Context triple: [The Big Store, storyBy, Ray Golden]
  • A. Ray Golden chosen
    Ray Golden was a screenwriter active during the early 20th-century American film industry, known for contributing to Hollywood studio-era productions.
  • B. Joel Goldsmith
    Joel Goldsmith was an American composer best known for his work on film and television scores, including the Stargate franchise.
  • C. Josh Goldstein
    Josh Goldstein is a screenwriter best known for co-writing the story for Disney’s adventure film "Jungle Cruise."
  • D. Andrew Goldstein
    Andrew Goldstein is an American songwriter and record producer known for his work with major pop and rock artists across the contemporary music industry.
  • E. Michael Goldstein
    Michael Goldstein is a relatively common personal name shared by multiple individuals across fields such as academia, business, and the arts, rather than referring to a single widely recognized public figure.
  • 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_69d6aafd0a448190b44da30af8c6c519 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a43f438081909da476294a057c38 completed April 10, 2026, 7:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef82e252fc819082b5c8a33fcf861a completed April 27, 2026, 3:38 p.m.
Created at: April 8, 2026, 9:39 p.m.