Triple

T2758532
Position Surface form Disambiguated ID Type / Status
Subject Stephen Fry E61163 entity
Predicate givenName P17 FINISHED
Object Stephen E83906 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 | Statement: [Stephen Fry, givenName, Stephen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stephen
Context triple: [Stephen Fry, givenName, Stephen]
  • A. Stephen
    Stephen is the full given name of former Scottish footballer and manager Steve Nicol, best known for his successful career with Liverpool FC in the 1980s and early 1990s.
  • B. Stephen
    Stephen is a prominent early Christian figure known as the first Christian martyr, whose story is recounted in the New Testament book of Acts.
  • 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 Stephen Decatur, a renowned early 19th-century United States naval officer celebrated for his heroism in the Barbary Wars and the War of 1812.
  • E. Stephen
    Stephen is the given name of Stephen G. Breyer, an American jurist and former Associate Justice of the U.S. Supreme Court.
  • 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_69ab4b7a85bc819094a349b84beb1f2c completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdb8d34f88190a760111fe303cf24 completed March 7, 2026, 8:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc040c5f08190898e81938afe6884 completed March 10, 2026, 6:54 a.m.
Created at: March 6, 2026, 9:57 p.m.