Triple

T546456
Position Surface form Disambiguated ID Type / Status
Subject Kingdom of Israel (united monarchy) E12742 entity
Predicate hasMonarch P765 FINISHED
Object Saul 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 | Statement: [Kingdom of Israel (united monarchy), hasMonarch, Saul]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saul
Context triple: [Kingdom of Israel (united monarchy), hasMonarch, Saul]
  • A. Saul
    Saul is a surname most notably associated with Canadian philosopher and writer John Ralston Saul.
  • B. Samuel
    Samuel is a masculine given name of Hebrew origin meaning "name of God" or "God has heard," widely used across many cultures and languages.
  • C. Samuel
    Samuel is the birth name of the famed American author Mark Twain, known for classics like "The Adventures of Tom Sawyer" and "Adventures of Huckleberry Finn."
  • 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. Yoshua
    Yoshua is a male given name most notably borne by Yoshua Bengio, a pioneering Canadian computer scientist and deep learning researcher.
  • 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_69a49334226c81908b0ea1689ef6aa3f completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a498e150e88190b35b1bc7a376ca07 completed March 1, 2026, 7:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4d044b03c8190b7c87b0da05e4d6e completed March 1, 2026, 11:48 p.m.
Created at: March 1, 2026, 7:32 p.m.