Triple

T15997703
Position Surface form Disambiguated ID Type / Status
Subject Joel Goldsmith E388014 entity
Predicate familyName P18 FINISHED
Object Goldsmith E119304 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: Goldsmith | Statement: [Joel Goldsmith, familyName, Goldsmith]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Goldsmith
Context triple: [Joel Goldsmith, familyName, Goldsmith]
  • A. Goldsmith chosen
    Goldsmith is a surname most famously associated with Jerry Goldsmith, the acclaimed American composer known for his influential film and television scores.
  • B. Goldsmith’s
    Goldsmith’s was a regional American department store chain based in Memphis, Tennessee, later absorbed into larger national retail brands.
  • C. Swona
    Swona is an uninhabited island in the Orkney archipelago of Scotland, noted for its strong tidal races and abandoned crofting settlements.
  • D. The Mint
    The Mint is a posthumously published autobiographical work by T. E. Lawrence that candidly chronicles his experiences and observations while serving as an enlisted airman in the Royal Air Force.
  • E. Gold
    Gold is a 2016 American crime adventure film in which Matthew McConaughey stars as a prospector chasing a potentially fraudulent gold discovery in the Indonesian jungle.
  • 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_69d86daa562c81908aacc179c0fe8fb5 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e157893ebc8190acb75ee05e450fae completed April 16, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffc3d79dec8190b02e003f93e5dad6 completed May 9, 2026, 11:31 p.m.
Created at: April 10, 2026, 4:55 a.m.