Triple

T14154346
Position Surface form Disambiguated ID Type / Status
Subject Stephen Silas E350772 entity
Predicate name P16 FINISHED
Object Stephen Silas E350772 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: Stephen Silas | Statement: [Stephen Silas, name, Stephen Silas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stephen Silas
Context triple: [Stephen Silas, name, Stephen Silas]
  • A. Stephen Silas chosen
    Stephen Silas is an American professional basketball coach best known for serving as head coach of the Houston Rockets in the NBA.
  • B. Terry Stotts
    Terry Stotts is an American basketball coach best known for his long tenure as head coach of the NBA’s Portland Trail Blazers, where he led the team to multiple playoff appearances.
  • C. Mike Woodson
    Mike Woodson is an American basketball coach and former NBA player best known for leading the Indiana Hoosiers men's basketball program and previously coaching multiple NBA teams.
  • D. Holden Snyder
    Holden Snyder is a long-running fictional character from the American soap opera "As the World Turns," known for his central role in the Snyder family storylines.
  • E. Marc McDermott
    Marc McDermott was an Australian-born American actor of the silent film era, known for his prolific work in early Hollywood cinema.
  • 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_69d8278775fc8190b0802d22ca2f495d completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6133754881908e1e97db71772deb completed April 14, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf7ec6448819087e50aac964ec637 completed May 7, 2026, 8:37 p.m.
Created at: April 10, 2026, 12:58 a.m.