Triple

T10258012
Position Surface form Disambiguated ID Type / Status
Subject Abuhav Synagogue E240522 entity
Predicate namedAfter P63 FINISHED
Object Isaac Abuhav E240522 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: Isaac Abuhav | Statement: [Abuhav Synagogue, namedAfter, Isaac Abuhav]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Isaac Abuhav
Context triple: [Abuhav Synagogue, namedAfter, Isaac Abuhav]
  • A. Isaac Abuhav chosen
    Isaac Abuhav was a prominent 15th-century Spanish rabbi and kabbalist whose teachings and legacy are commemorated by the historic Abuhav Synagogue in Safed.
  • B. Israel Iskowitz
    Israel Iskowitz was the birth name of Eddie Cantor, a famous American comedian, singer, actor, and radio and film star of the early 20th century.
  • C. Yehuda Hoffman
    Yehuda Hoffman is an astrophysicist known for his work in cosmology and large-scale structure, including helping identify and characterize the Laniakea Supercluster.
  • D. Ilan Isakov
    Ilan Isakov is a composer and musician best known for creating the score for the documentary film "Ai Weiwei: Never Sorry."
  • E. Avner Kaufman
    Avner Kaufman is the central Mossad agent protagonist in Steven Spielberg’s film "Munich," depicted as a conflicted assassin grappling with the moral consequences of his mission.
  • 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_69d381a7e198819090280d5ab885d59e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d24de4588190b68fb3daa36dbd7d completed April 7, 2026, 9:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69d74ff21edc8190b8b4a6967510a869 completed April 9, 2026, 7:06 a.m.
Created at: April 6, 2026, 11:31 a.m.