Triple

T935011
Position Surface form Disambiguated ID Type / Status
Subject King Saul E20175 entity
Predicate alsoKnownAs P39 FINISHED
Object Saul ben Kish E20175 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: Saul ben Kish | Statement: [King Saul, alsoKnownAs, Saul ben Kish]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saul ben Kish
Context triple: [King Saul, alsoKnownAs, Saul ben Kish]
  • A. Saul
    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.
  • B. Saul
    Saul is a surname most notably associated with Canadian philosopher and writer John Ralston Saul.
  • C. Jephta
    Jephta is a 17th-century Dutch tragedy by Joost van den Vondel that dramatizes the biblical story of Jephthah and his fateful vow.
  • D. King Saul chosen
    King Saul was the first king of Israel in the Hebrew Bible, known for his troubled reign and eventual downfall, particularly in contrast to his successor, King David.
  • E. Othniel
    Othniel is a biblical figure regarded as the first judge of Israel, known for delivering the Israelites from oppression in the Book of Judges.
  • 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_69a493af3dc48190adb7263e6e445ea1 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b363ea5c819098ec1d87f785bad4 completed March 1, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69a826dec198819084889ea69d53cd6c completed March 4, 2026, 12:34 p.m.
Created at: March 1, 2026, 7:40 p.m.