Triple

T23388124
Position Surface form Disambiguated ID Type / Status
Subject Sylvester I E593939 entity
Predicate givenNameAtBirth P18679 FINISHED
Object Sylvester 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: Sylvester | Statement: [Sylvester I, givenNameAtBirth, Sylvester]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sylvester
Context triple: [Sylvester I, givenNameAtBirth, Sylvester]
  • A. Sylvester
    Sylvester is a classic Looney Tunes cartoon cat best known for his lisping voice and comical attempts to catch Tweety Bird.
  • B. Sylvester chosen
    Sylvester is the birth name of Pope Sylvester I, a 4th-century bishop of Rome associated with the early Christian Church during the reign of Emperor Constantine.
  • C. Sylvester
    Sylvester is the middle name of William S. Harley, co-founder of the Harley-Davidson Motor Company.
  • D. Sylvester
    Sylvester was an influential American disco and soul singer known for his powerful falsetto voice and pioneering role in LGBTQ+ music culture.
  • E. Sylvester
    Sylvester is a masculine given name of Latin origin, commonly associated with historical figures, religious leaders, and various cultural works.
  • 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_69e25d2754fc819085deea939bde60ab completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1a499bad88190afca1afb2e3fddb0 completed April 29, 2026, 6:26 a.m.
Created at: April 17, 2026, 5:35 p.m.