Triple

T4852671
Position Surface form Disambiguated ID Type / Status
Subject Murder of Uriah the Hittite E108451 entity
Predicate involvesCharacter P15562 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: [Murder of Uriah the Hittite, involvesCharacter, Bathsheba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bathsheba
Context triple: [Murder of Uriah the Hittite, involvesCharacter, 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. Susanna
    Susanna is a feminine given name of Hebrew origin, commonly used in various European languages and cultures.
  • 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_69bd440a89548190a5f14ba6da6b97dc completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6d39a4cc81908e27f587729225b0 completed March 20, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69be81b042e48190b9f930504e9e21de completed March 21, 2026, 11:32 a.m.
Created at: March 20, 2026, 1:26 p.m.