Triple

T13455146
Position Surface form Disambiguated ID Type / Status
Subject Stephen Toulmin E311211 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 Toulmin, givenName, Stephen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stephen
Context triple: [Stephen Toulmin, givenName, Stephen]
  • A. Stephen
    Stephen is the middle name of Harold Stephen Black, an American electrical engineer known for inventing the negative feedback amplifier.
  • B. Stephen chosen
    Stephen is a masculine given name of Greek origin meaning "crown" or "garland," widely used in English-speaking countries.
  • C. Stephen
    Stephen is the given name of Stephen Marley, a Jamaican musician and son of reggae legend Bob Marley.
  • D. Stephen
    Stephen is the first name of Steve Ditko, the influential American comic book artist and co-creator of Spider-Man and Doctor Strange.
  • E. Stephen
    Stephen was the birth name of Pope Stephen II, a 8th-century pontiff who played a key role in forging the alliance between the papacy and the Frankish kingdom.
  • 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_69d806a938b8819097ec43a2229fc7f9 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaefc52448190b30d7999f44a9765 completed April 12, 2026, 2:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7399e33008190b10c14f30ff0c0d2 completed May 3, 2026, 12:03 p.m.
Created at: April 9, 2026, 9:41 p.m.