Triple

T15506052
Position Surface form Disambiguated ID Type / Status
Subject Catherine Chandler E379083 entity
Predicate hasLoveInterest P7325 FINISHED
Object Vincent E1009351 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: Vincent | Statement: [Catherine Chandler, hasLoveInterest, Vincent]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vincent
Context triple: [Catherine Chandler, hasLoveInterest, Vincent]
  • A. Vincent
    Vincent is a masculine given name of Latin origin, derived from "Vincentius," meaning "conquering" or "to conquer."
  • B. Vincent
    "Vincent" is a British television drama series featuring Ray Winstone in a leading role as a private investigator.
  • C. Vincent chosen
    Vincent is the mysterious, lion-like protagonist who dwells beneath New York City in the cult fantasy-romance TV series "Beauty and the Beast."
  • D. 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.
  • E. Vincent
    Vincent is a minor character in the 1997 romantic comedy-drama film "As Good as It Gets."
  • 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_69d85cd53a7c819080f5b9042c4c199e completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03fcd5d948190b25a67a72ef980e9 completed April 16, 2026, 1:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3d4cf35c8190aa8d2db6dd744c3f completed May 9, 2026, 1:57 p.m.
Created at: April 10, 2026, 3:55 a.m.