Triple

T22506426
Position Surface form Disambiguated ID Type / Status
Subject Saul (Handel) E556400 entity
Predicate hasCharacter P2308 FINISHED
Object Saul 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: Saul | Statement: [Saul (Handel), hasCharacter, Saul]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saul
Context triple: [Saul (Handel), hasCharacter, Saul]
  • A. Saul
    Saul is a surname most notably associated with Canadian philosopher and writer John Ralston Saul.
  • B. Saul chosen
    Saul is the first king of Israel in the Hebrew Bible, known for his tumultuous reign and complex relationship with the prophet Samuel and his successor David.
  • C. Saul
    Saul is a small village in Gloucestershire, England, known for its proximity to the Gloucester and Sharpness Canal and the nearby Saul Junction.
  • D. Saúl
    "Saúl" is a 19th-century novel by Cuban-Spanish Romantic writer Gertrudis Gómez de Avellaneda, reflecting her characteristic themes of passion, social critique, and psychological depth.
  • E. Jonathan son of Saul
    Jonathan son of Saul was a valiant Israelite prince and close friend of David, renowned for his loyalty, courage in battle, and tragic death fighting the Philistines.
  • 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_69e11e555edc81909ca803587dafd747 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15d5cddf88190821d9c9fdee84160 completed April 29, 2026, 1:22 a.m.
Created at: April 16, 2026, 8:50 p.m.