Triple

T7341830
Position Surface form Disambiguated ID Type / Status
Subject Saul Lieberman E169270 entity
Predicate givenName P17 FINISHED
Object Saul E49403 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: [Saul Lieberman, givenName, Saul]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saul
Context triple: [Saul Lieberman, givenName, Saul]
  • A. Saul chosen
    Saul is a surname most notably associated with Canadian philosopher and writer John Ralston Saul.
  • B. 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.
  • C. 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.
  • D. Zamani Saul
    Zamani Saul is a South African politician who serves as the Premier of the Northern Cape province.
  • E. Dávid
    Dávid is a given name, commonly used in Hungarian and other languages as a form of the name David.
  • 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_69c68a57710481909f0c1f3c6ebdb6f2 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f0da176081909a40552c6f22087c completed March 27, 2026, 9:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7ef294f608190ae2ccd45a1ca213a completed March 28, 2026, 3:09 p.m.
Created at: March 27, 2026, 3:04 p.m.