Triple

T4852503
Position Surface form Disambiguated ID Type / Status
Subject Ish-bosheth E108448 entity
Predicate relative P37 FINISHED
Object Jonathan son of Saul E109473 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: Jonathan son of Saul | Statement: [Ish-bosheth, relative, Jonathan son of Saul]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jonathan son of Saul
Context triple: [Ish-bosheth, relative, Jonathan son of Saul]
  • A. 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.
  • B. Saul
    Saul is a surname most notably associated with Canadian philosopher and writer John Ralston Saul.
  • C. Dan son of Jacob
    Dan son of Jacob is one of the twelve sons of the biblical patriarch Jacob and the traditional ancestor of the Israelite Tribe of Dan.
  • D. Salomo
    Salomo is the given name of Johann Salomo Semler, an influential 18th-century German theologian and pioneer of historical-critical biblical scholarship.
  • E. Zamani Saul
    Zamani Saul is a South African politician who serves as the Premier of the Northern Cape province.
  • 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_69be5ce33db08190b44b5b0c21d2b850 completed March 21, 2026, 8:54 a.m.
Created at: March 20, 2026, 1:26 p.m.