Triple

T22297116
Position Surface form Disambiguated ID Type / Status
Subject Johannes E551148 entity
Predicate hasScriptForm P5713 FINISHED
Object יוֹחָנָן 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: יוֹחָנָן | Statement: [Johannes, hasScriptForm, יוֹחָנָן]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: יוֹחָנָן
Context triple: [Johannes, hasScriptForm, יוֹחָנָן]
  • A. Yohanan chosen
    Yohanan is a Hebrew given name, often rendered as "Yohanan" or "Yochanan," meaning "God is gracious" and historically borne by various Jewish religious and political figures.
  • B. Yoshua
    Yoshua is a male given name most notably borne by Yoshua Bengio, a pioneering Canadian computer scientist and deep learning researcher.
  • C. Juasseh
    Juasseh is a small town in the Kuala Pilah District of Negeri Sembilan, Malaysia, known for its rural setting and local Malay community.
  • D. Yacob
    Yacob is the surname of Halimah Yacob, a prominent Singaporean politician and the country’s first female president.
  • E. Yaḥyā
    Yaḥyā is the personal name of the renowned early Arabic grammarian and philologist Al-Farrāʾ.
  • 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_69e11e45fb848190a1b2ae21296e3a5f completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15720fba0819080f6c96f6df4f1e0 completed April 29, 2026, 12:56 a.m.
Created at: April 16, 2026, 8:41 p.m.