Triple

T21706413
Position Surface form Disambiguated ID Type / Status
Subject Ben Ezra Synagogue E535781 entity
Predicate namedAfter P63 FINISHED
Object Prophet Ezra 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: Prophet Ezra | Statement: [Ben Ezra Synagogue, namedAfter, Prophet Ezra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Prophet Ezra
Context triple: [Ben Ezra Synagogue, namedAfter, Prophet Ezra]
  • A. Ezra chosen
    Ezra is a prominent Jewish scribe and priest traditionally credited with leading religious reforms and restoring the Torah’s authority among the Israelites after the Babylonian exile.
  • B. Ezra
    Ezra is the mysterious and charismatic drifter who becomes entangled in the life of a young boy and his mother in the 2023 sci-fi drama film "Prospect," portrayed by Pedro Pascal.
  • C. Ezra
    Ezra is a mysterious, soft-spoken child who accompanies the protagonists in the surreal, narrative-driven adventure game Kentucky Route Zero.
  • D. Nehemiah
    Nehemiah is a biblical figure known for leading the rebuilding of Jerusalem’s walls and instituting religious and social reforms among the returned exiles.
  • E. Ezra–Nehemiah
    Ezra–Nehemiah is a biblical work that narrates the return of the Jewish exiles from Babylon, the rebuilding of the Jerusalem temple and walls, and the community’s religious and social reforms.
  • 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_69e0c46b44c0819088ab883ebd44e0e8 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69efb52f64c48190b5d59561999e922f completed April 27, 2026, 7:12 p.m.
Created at: April 16, 2026, 6:46 p.m.