Triple

T14530536
Position Surface form Disambiguated ID Type / Status
Subject Vergible Woods E340900 entity
Predicate givenName P17 FINISHED
Object Vergible E340900 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: Vergible | Statement: [Vergible Woods, givenName, Vergible]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vergible
Context triple: [Vergible Woods, givenName, Vergible]
  • A. Vergible chosen
    Vergible is the birth name of Tea Cake, a central character in Zora Neale Hurston’s novel "Their Eyes Were Watching God."
  • B. Vernio
    Vernio is a municipality in the Province of Prato in Tuscany, central Italy, known for its historic hilltop villages and Apennine landscape.
  • C. Versh
    Versh is a character in William Faulkner’s novel "The Sound and the Fury," serving as a childhood caretaker and companion to the Compson children.
  • D. The Vodi
    The Vodi is a novel by British author John Braine, best known for its darkly psychological exploration of guilt, illness, and alienation in postwar England.
  • E. Versa
    Versa is an American alternative rock band co-founded by musician and producer Blake Harnage, known for its atmospheric, electronic-infused sound.
  • 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_69d822dac79c8190a84a073f3cbaced5 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dea052d01c81909c8592c351be6f35 completed April 14, 2026, 8:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd7a547c408190a1a19e12aac1d5bd completed May 8, 2026, 5:53 a.m.
Created at: April 10, 2026, 1:22 a.m.