Triple

T22486445
Position Surface form Disambiguated ID Type / Status
Subject Myrtle Beach 1993 E555894 entity
Predicate featuresArtist P1952 FINISHED
Object John Bell NE NERFINISHED

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: John Bell | Statement: [Myrtle Beach 1993, featuresArtist, John Bell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Bell
Context triple: [Myrtle Beach 1993, featuresArtist, John Bell]
  • A. John Bell
    John Bell was a 19th-century American politician who served as a U.S. senator from Tennessee and was the Constitutional Union Party’s presidential candidate in the 1860 election.
  • B. John Bell
    John Bell was a Northern Irish physicist best known for Bell's theorem, which revealed fundamental limits on local hidden-variable theories and profoundly influenced the foundations of quantum mechanics.
  • C. John Bell chosen
    John Bell is an American musician best known as the lead singer and rhythm guitarist of the jam band Widespread Panic.
  • D. J. Bell
    J. Bell was a late 18th-century British publisher and bookseller known for issuing popular literary works, including early editions of Gothic novels.
  • E. Sir John Bell
    Sir John Bell was a British Army general and colonial administrator who served in various high-ranking military and governmental posts during the 19th century.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e53897c819088863779f8c50bb0 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15c3c6d808190b6dc70c3d1985bf3 completed April 29, 2026, 1:17 a.m.
Created at: April 16, 2026, 8:49 p.m.