Triple

T15729564
Position Surface form Disambiguated ID Type / Status
Subject Dewey Dell Bundren E381305 entity
Predicate givenName P17 FINISHED
Object Dewey Dell E381305 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: Dewey Dell | Statement: [Dewey Dell Bundren, givenName, Dewey Dell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dewey Dell
Context triple: [Dewey Dell Bundren, givenName, Dewey Dell]
  • A. Dewey Dell Bundren chosen
    Dewey Dell Bundren is a central character in William Faulkner’s novel *As I Lay Dying*, a young, pregnant daughter in the Bundren family whose inner turmoil and limited agency highlight themes of isolation, gender, and desperation in the rural American South.
  • B. Dolly Long
    Dolly Long is a person known primarily for sharing the surname Long, though no widely recognized public information specifically distinguishes her.
  • C. Janie
    Janie is a feminine given name commonly used as a diminutive form of Jane.
  • D. Tott Doneeta
    Tott Doneeta is a Twi'lek Jedi Knight from the Star Wars Expanded Universe, known for his loyalty and role in the ancient Jedi conflicts depicted in the Tales of the Jedi comics.
  • E. Zelma
    Zelma is a feminine given name of Hebrew origin, often considered a variant of Selma or Anselma.
  • 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_69d86d9cdb648190bf3171be0bd7d872 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04fb61cb881908b158609c1ccfa1e completed April 16, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff82fcb4e4819097bd0591bbcc3b71 completed May 9, 2026, 6:54 p.m.
Created at: April 10, 2026, 4:46 a.m.