Triple

T19688079
Position Surface form Disambiguated ID Type / Status
Subject Mount of Corruption E472764 entity
Predicate associatedWith P37 FINISHED
Object King Solomon NE NERFINISHED

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 Solomon | Statement: [Mount of Corruption, associatedWith, King Solomon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: King Solomon
Context triple: [Mount of Corruption, associatedWith, King Solomon]
  • A. King Solomon chosen
    King Solomon is a biblical king of ancient Israel renowned for his wisdom, wealth, and the construction of the First Temple in Jerusalem.
  • B. Solomon
    Solomon is a character in Min Jin Lee's novel "Pachinko," depicted as a third-generation Korean-Japanese man navigating questions of identity, family legacy, and discrimination in postwar Japan.
  • C. Solomon
    Solomon is an Australian federal electoral division in the Northern Territory that includes the Darwin urban area and surrounding regions.
  • D. Solomon
    Solomon is a common Hebrew-origin surname borne by numerous individuals across diverse cultures and professions.
  • E. Solomon
    Solomon is a character in the 1992 psychological thriller film "The Hand That Rocks the Cradle," known as a mentally disabled handyman who becomes suspicious of the seemingly perfect nanny.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e515bef88190bc30781aea50537a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6420d39688190ad3a84dbffce4ffe completed April 20, 2026, 3:11 p.m.
Created at: April 10, 2026, 1:45 p.m.