Triple

T3340501
Position Surface form Disambiguated ID Type / Status
Subject Bathsheba at Her Bath E70245 entity
Predicate depicts P1581 FINISHED
Object Bathsheba E32067 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: Bathsheba | Statement: [Bathsheba at Her Bath, depicts, Bathsheba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bathsheba
Context triple: [Bathsheba at Her Bath, depicts, Bathsheba]
  • A. Bathsheba chosen
    Bathsheba is a prominent biblical figure known as the wife of King David and the mother of King Solomon.
  • B. Betsy Drake
    Betsy Drake was an American actress and writer best known for her film work in the late 1940s and 1950s and for her influential role in the life and career of Cary Grant.
  • C. Ambrosine Phillpotts
    Ambrosine Phillpotts was a British character actress known for her numerous supporting roles in mid-20th-century film, theatre, and television.
  • D. Susanna
    Susanna is a deuterocanonical addition to the Book of Daniel, telling the story of a virtuous woman falsely accused of adultery and vindicated by the prophet Daniel.
  • E. Betty Blake
    Betty Blake was the wife of American humorist and entertainer Will Rogers, known for supporting his career and managing family life while he rose to national fame.
  • 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_69ad85a405e48190b6e68de7cf9f319e completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb1c0ae44819091c851569eaf4565 completed March 8, 2026, 5:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69b325191a38819095cdccca8f013774 completed March 12, 2026, 8:42 p.m.
Created at: March 8, 2026, 3:12 p.m.