Triple

T208099
Position Surface form Disambiguated ID Type / Status
Subject King Solomon E4651 entity
Predicate predecessor P97 FINISHED
Object King David E3231 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: King David | Statement: [King Solomon, predecessor, King David]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: King David
Context triple: [King Solomon, predecessor, King David]
  • A. King David chosen
    King David is the second king of ancient Israel, revered in Judaism as a foundational monarch, warrior, and psalmist whose dynasty is central to Jewish messianic tradition.
  • B. King Saul
    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.
  • C. King Solomon
    King Solomon is a biblical king of ancient Israel renowned for his wisdom, wealth, and the construction of the First Temple in Jerusalem.
  • D. David
    David is the middle name of Dwight D. Eisenhower, the 34th president of the United States and Supreme Allied Commander in Europe during World War II.
  • E. David
    David is a major city in western Panama and the capital of Chiriquí 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_69a25737567c81908f9c505300239181 completed Feb. 28, 2026, 2:47 a.m.
NER Named-entity recognition batch_69a25c071fac81908f706d1384281182 completed Feb. 28, 2026, 3:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69a3441a5fb08190971136c2ec6e79ee completed Feb. 28, 2026, 7:38 p.m.
Created at: Feb. 28, 2026, 2:51 a.m.