Triple

T7209165
Position Surface form Disambiguated ID Type / Status
Subject Beit Yosef E148753 entity
Predicate reliesOn P1022 FINISHED
Object Ran E155880 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: Ran | Statement: [Beit Yosef, reliesOn, Ran]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ran
Context triple: [Beit Yosef, reliesOn, Ran]
  • A. Ran
    Ran is a 1985 Japanese epic period drama film directed by Akira Kurosawa, renowned for its visually stunning, tragic retelling of Shakespeare’s King Lear set in feudal Japan.
  • B. Sete
    Sète is a port city on the Mediterranean coast of southern France, known for its fishing industry, canals, and maritime heritage.
  • C. Kita Iwo Jima
    Kita Iwo Jima is a remote, uninhabited volcanic island in the Pacific Ocean that forms part of Japan’s Ogasawara (Bonin) archipelago.
  • D. Hud chosen
    Hud is a prophet in Islamic tradition, known for being sent to guide the ancient people of ʿĀd away from idolatry and toward the worship of one God.
  • E. Hud
    Hud is a 1963 American Western drama film, directed by Martin Ritt and starring Paul Newman, acclaimed for its stark portrayal of moral conflict and its Oscar-winning performances.
  • 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_69c687e8cf188190b5f3ecffd681f04e completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6e96c46dc819080a6b40456d7b068 completed March 27, 2026, 8:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7bfc4e6688190ad9e0d31505e65af completed March 28, 2026, 11:47 a.m.
Created at: March 27, 2026, 2:52 p.m.