Triple

T19839424
Position Surface form Disambiguated ID Type / Status
Subject Younes E476684 entity
Predicate isCognateOf P2527 FINISHED
Object Jonah 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: Jonah | Statement: [Younes, isCognateOf, Jonah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jonah
Context triple: [Younes, isCognateOf, Jonah]
  • A. Jonah
    Jonah is the English given name of Jonah Kūhiō Kalanianaʻole, a Hawaiian prince and long-serving delegate to the U.S. Congress from the Territory of Hawaii.
  • B. Book of Jonah
    The Book of Jonah is a short biblical narrative about the prophet Jonah, whose attempt to flee God's command leads to his being swallowed by a great fish and ultimately delivering a message of repentance to the city of Nineveh.
  • C. Commentary on Jonah
    Commentary on Jonah is a biblical exegesis on the Book of Jonah traditionally attributed to the early Christian scholar and Church Father Jerome.
  • D. prophet Jonah chosen
    Prophet Jonah is a biblical figure best known for the story in which he is swallowed by a great fish after attempting to flee from God's command to preach repentance to the people of Nineveh.
  • E. Yonah
    Yonah is Intel’s first-generation 65 nm mobile processor microarchitecture that introduced dual-core designs and improved power efficiency for laptops.
  • 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_69d8e51d39d081909bcfafeaaf3d2fcc completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65804be608190b49e110c3bf381bc completed April 20, 2026, 4:44 p.m.
Created at: April 10, 2026, 1:50 p.m.