Triple

T14530550
Position Surface form Disambiguated ID Type / Status
Subject Vergible Woods E340900 entity
Predicate spouse P13 FINISHED
Object Janie Crawford E68157 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: Janie Crawford | Statement: [Vergible Woods, spouse, Janie Crawford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Janie Crawford
Context triple: [Vergible Woods, spouse, Janie Crawford]
  • A. Janie Crawford chosen
    Janie Crawford is the resilient, self-discovering Black woman protagonist of Zora Neale Hurston’s novel "Their Eyes Were Watching God," whose life story explores love, independence, and identity in the early 20th-century American South.
  • B. Janie
    Janie is a feminine given name commonly used as a diminutive form of Jane.
  • C. Janie Gerhardt
    Janie Gerhardt is a fictional character from Theodore Dreiser’s novel "Jennie Gerhardt," portrayed as a compassionate young woman facing social and moral challenges in 19th-century America.
  • D. Janie Bradford
    Janie Bradford is an American songwriter best known for co-writing the Motown hit "Money (That's What I Want)" and contributing to the label's early success.
  • E. Janie Page
    Janie Page is a fictional character who is the daughter of Neal Page in the film "Planes, Trains and Automobiles."
  • 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_69fda90e1778819095f5ac8848120098 completed May 8, 2026, 9:12 a.m.
Created at: April 10, 2026, 1:22 a.m.