Triple

T19108121
Position Surface form Disambiguated ID Type / Status
Subject Alvah Bessie E467712 entity
Predicate familyName P18 FINISHED
Object Bessie NE NERFINISHED

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: Bessie | Statement: [Alvah Bessie, familyName, Bessie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bessie
Context triple: [Alvah Bessie, familyName, Bessie]
  • A. Bessie
    Bessie is one of the central child protagonists in Enid Blyton’s classic fantasy series "The Magic Faraway Tree," known for her sensible and caring nature during the siblings’ adventures.
  • B. Bessie
    Bessie is the devoted, self-sacrificing caregiver at the heart of the play and film "Marvin's Room," around whom the story’s family drama and emotional themes revolve.
  • C. Bessie
    Bessie is the Third Doctor’s iconic vintage yellow roadster from Doctor Who, used as his primary mode of terrestrial transport.
  • D. Bessie chosen
    Bessie is a feminine given name most famously associated with legendary American blues singer Bessie Smith.
  • E. Bessie
    Bessie is a character from "The Land of Dreams," likely serving as a central figure within its imaginative, dreamlike narrative world.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dd06a26481908039e2a1bae8c597 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e391f00c8190881a5977dd3728ed completed April 20, 2026, 8:28 a.m.
Created at: April 10, 2026, 12:04 p.m.