Triple

T19837536
Position Surface form Disambiguated ID Type / Status
Subject siege of Rabbah E476636 entity
Predicate associatedFigure P1183 FINISHED
Object Bathsheba 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: Bathsheba | Statement: [siege of Rabbah, associatedFigure, Bathsheba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bathsheba
Context triple: [siege of Rabbah, associatedFigure, Bathsheba]
  • A. Bathsheba chosen
    Bathsheba is a prominent biblical figure known as the wife of King David and the mother of King Solomon.
  • B. Bathsheba
    Bathsheba is the whale protagonist and first-person narrator of Patrick Ness’s allegorical novel "And the Ocean Was Our Sky."
  • C. Bathsheba Doran
    Bathsheba Doran is a British playwright and screenwriter known for her work in theatre, television, and film, including contributions to series like Boardwalk Empire and Masters of Sex.
  • D. Bathsheba Everdene
    Bathsheba Everdene is the independent, strong-willed heroine of Thomas Hardy’s novel "Far from the Madding Crowd," whose romantic entanglements and struggle for autonomy drive the story.
  • E. Tess Goode
    Tess Goode is a thoughtful, idealistic young woman in Wendy Wasserstein’s play "The Sisters Rosensweig," whose political convictions and generational perspective contrast with those of her mother and aunts.
  • 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_69d8e51d39d081909bcfafeaaf3d2fcc completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65802f57081909e4e94694684bda4 completed April 20, 2026, 4:44 p.m.
Created at: April 10, 2026, 1:50 p.m.