Triple

T20162696
Position Surface form Disambiguated ID Type / Status
Subject Stephen Salisbury III E491750 entity
Predicate hasGivenName P17 FINISHED
Object Stephen 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: Stephen | Statement: [Stephen Salisbury III, hasGivenName, Stephen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stephen
Context triple: [Stephen Salisbury III, hasGivenName, Stephen]
  • A. Stephen
    Stephen is the formal given name of Steve Wozniak, the American computer engineer and co-founder of Apple Inc.
  • B. Stephen
    Stephen is the first name of Steve Ditko, the influential American comic book artist and co-creator of Spider-Man and Doctor Strange.
  • C. Stephen chosen
    Stephen is a masculine given name of Greek origin meaning "crown" or "garland," widely used in English-speaking countries.
  • D. Stephen
    Stephen is the given name of American novelist, screenwriter, and film director Stephen Chbosky, best known for writing "The Perks of Being a Wallflower."
  • E. Stephen
    Stephen is the given name of Stephen Stills, the American singer-songwriter and musician known for his work with Buffalo Springfield and Crosby, Stills, Nash & Young.
  • 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_69da6266c6888190bc1a3ecf24814d34 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e667e505888190a05e26a3c5a0ede1 completed April 20, 2026, 5:52 p.m.
Created at: April 11, 2026, 11:34 p.m.