Triple

T2228279
Position Surface form Disambiguated ID Type / Status
Subject David Simas E48704 entity
Predicate name P16 FINISHED
Object David Simas E48704 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: David Simas | Statement: [David Simas, name, David Simas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Simas
Context triple: [David Simas, name, David Simas]
  • A. David Simas chosen
    David Simas is an American political strategist and former Obama White House official who serves as a top executive leader at the Obama Foundation.
  • B. Jack Simms
    Jack Simms was the discoverer of Mark Twain Cave, a famous show cave in Missouri associated with author Mark Twain and his writings.
  • C. John Simmons
    John Simmons was a 19th-century American clothing manufacturer and philanthropist whose endowment led to the creation of Simmons University in Boston.
  • D. Warren Simmons
    Warren Simmons is an American real estate developer best known for creating San Francisco’s popular waterfront attraction Pier 39.
  • E. Daniel Silna
    Daniel Silna is an American businessman best known for co-owning the former ABA team Spirits of St. Louis and securing one of the most lucrative television revenue deals in sports history when the league merged with the NBA.
  • 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_69a88aa51b388190949868ec9766e587 completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc0670ce48190b98814064bff0517 completed March 7, 2026, 6:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae7f007e988190bb032a39cfea7730 completed March 9, 2026, 8:04 a.m.
Created at: March 4, 2026, 7:47 p.m.