Triple

T23357119
Position Surface form Disambiguated ID Type / Status
Subject Throne of Israel E593078 entity
Predicate firstHolder P291 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: [Throne of Israel, firstHolder, Saul]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saul
Context triple: [Throne of Israel, firstHolder, 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. Esaul
    Esaul is a song by the Ukrainian metal band Jinjer, featured among the early demo recordings that helped establish their progressive groove metal sound.
  • E. 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.
  • 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_69e25d24d2a4819092e6ede74c2a918d completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f19a18996c81909c7ad15cde616553 completed April 29, 2026, 5:41 a.m.
Created at: April 17, 2026, 5:28 p.m.