Triple

T18309291
Position Surface form Disambiguated ID Type / Status
Subject Prince Vincent of Denmark E438576 entity
Predicate givenName P17 FINISHED
Object Vincent 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: Vincent | Statement: [Prince Vincent of Denmark, givenName, Vincent]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vincent
Context triple: [Prince Vincent of Denmark, givenName, Vincent]
  • A. Vincent chosen
    Vincent is a masculine given name of Latin origin, derived from "Vincentius," meaning "conquering" or "to conquer."
  • B. Vincent
    Vincent is the mysterious, lion-like protagonist who dwells beneath New York City in the cult fantasy-romance TV series "Beauty and the Beast."
  • C. Vincent
    Vincent is a character from Disney's "Beauty and the Beast," known as one of the children in the extended universe of the story.
  • D. Vincent
    Vincent is a minor character in the 1997 romantic comedy-drama film "As Good as It Gets."
  • E. Vincent
    "Vincent" is a British television drama series featuring Ray Winstone in a leading role as a private investigator.
  • 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_69d8b915e3e881909125d760c15d0c29 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e5021709f88190a8047dd57edc2029 completed April 19, 2026, 4:25 p.m.
Created at: April 10, 2026, 10:36 a.m.