Triple

T6571201
Position Surface form Disambiguated ID Type / Status
Subject Sylvester Churchill E155441 entity
Predicate givenName P17 FINISHED
Object Sylvester E65231 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: Sylvester | Statement: [Sylvester Churchill, givenName, Sylvester]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sylvester
Context triple: [Sylvester Churchill, givenName, Sylvester]
  • A. Sylvester chosen
    Sylvester is a classic Looney Tunes cartoon cat best known for his lisping voice and comical attempts to catch Tweety Bird.
  • B. Sylvester
    Sylvester is a surname most notably associated with James Joseph Sylvester, a prominent 19th-century English mathematician known for his contributions to matrix theory, invariant theory, and number theory.
  • C. Sylvester
    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.
  • D. Bosley
    Bosley is a surname most famously associated with American actor Tom Bosley, known for his role as Howard Cunningham on the television series "Happy Days."
  • E. Orson
    Orson is a masculine given name most famously associated with the American filmmaker and actor Orson Welles.
  • 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_69c688151254819080387f87deab8fa7 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae5791e881909d0b340aa63c6223 completed March 27, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d56a7de88190948fdd052dd4d5d5 completed March 27, 2026, 7:07 p.m.
Created at: March 27, 2026, 1:53 p.m.