Triple

T12961033
Position Surface form Disambiguated ID Type / Status
Subject Fred Vincy E310142 entity
Predicate familyName P18 FINISHED
Object Vincy E1013136 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: Vincy | Statement: [Fred Vincy, familyName, Vincy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vincy
Context triple: [Fred Vincy, familyName, Vincy]
  • A. Vincy chosen
    Vincy is the surname of a fictional family in George Eliot’s novel "Middlemarch," to which the character Rosamond Vincy belongs.
  • B. Vinessa
    Vinessa is the distinctive given name of American actress and model Vinessa Shaw.
  • C. Kin Vassy
    Kin Vassy was an American singer and songwriter best known for his work in country and pop music, including collaborations with artists like Kenny Rogers and Frank Zappa.
  • D. Vinzons
    Vinzons is a coastal municipality in the province of Camarines Norte in the Bicol Region of the Philippines, known for its agricultural economy and access to nearby island beaches.
  • E. Vicky
    Vicky is one of the two central female protagonists in Woody Allen's romantic drama film "Vicky Cristina Barcelona," whose contrasting personality and desires drive much of the story's emotional tension.
  • 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_69d7bdfb57a88190836b743e2825feca completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97e2e44908190bb8b43fc5c3b8a8a completed April 10, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6cbc0b8188190a6a40bb4edf53e25 completed May 3, 2026, 4:14 a.m.
Created at: April 9, 2026, 5:44 p.m.