Triple

T16053396
Position Surface form Disambiguated ID Type / Status
Subject The Jane Austen Book Club E389410 entity
Predicate hasCharacter P2308 FINISHED
Object Jocelyn E284174 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: Jocelyn | Statement: [The Jane Austen Book Club, hasCharacter, Jocelyn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jocelyn
Context triple: [The Jane Austen Book Club, hasCharacter, Jocelyn]
  • A. Jocelyn chosen
    Jocelyn is a given name commonly used for people of any gender, often associated with the nickname "Jo."
  • B. Jacklyn
    Jacklyn is a feminine given name, typically considered a modern or variant form of Jacqueline.
  • C. Yvette
    Yvette is the given first name of the acclaimed American singer Chaka Khan.
  • D. Yvette
    Yvette is a river in northern France that flows through the Île-de-France region and serves as a tributary of the Orge.
  • E. Jessamyn
    Jessamyn is a feminine given name, often considered a variant of Jasmine or Jessamine.
  • 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_69d86dae698881908327ef2d67706cb9 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1836365688190b182f29bbb66127e completed April 17, 2026, 12:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffdbe2d87c8190ba7f16feb018e70c completed May 10, 2026, 1:14 a.m.
Created at: April 10, 2026, 4:56 a.m.