Triple

T22542702
Position Surface form Disambiguated ID Type / Status
Subject Jonah Platt E557335 entity
Predicate givenName P17 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: [Jonah Platt, givenName, Jonah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jonah
Context triple: [Jonah Platt, givenName, Jonah]
  • A. Jonah chosen
    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
    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_69e11e58662081909ae346ab384514ca completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15f330a40819098df6a9b0f27635e completed April 29, 2026, 1:30 a.m.
Created at: April 16, 2026, 8:51 p.m.