Triple

T16047654
Position Surface form Disambiguated ID Type / Status
Subject Rabban Yohanan ben Zakkai E389263 entity
Predicate honorificPrefix P536 FINISHED
Object Rabban E79745 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: Rabban | Statement: [Rabban Yohanan ben Zakkai, honorificPrefix, Rabban]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rabban
Context triple: [Rabban Yohanan ben Zakkai, honorificPrefix, Rabban]
  • A. Rabba
    Rabba is a modern honorific title used to refer to a female rabbi in some Jewish communities.
  • B. Rabba
    Rabba is a historic town in present-day Nigeria that served as the political and commercial center of the Nupe Kingdom.
  • C. Rabbi chosen
    A Rabbi is a Jewish religious leader and teacher, traditionally responsible for interpreting Jewish law, guiding community practice, and providing spiritual and ethical instruction.
  • D. Rabbeinu
    Rabbeinu is an honorific Hebrew title meaning "our teacher," traditionally used for highly respected rabbinic authorities.
  • E. Rav Aluf
    Rav Aluf is the highest military rank in the Israel Defense Forces, equivalent to a lieutenant general and typically held by the IDF's Chief of Staff.
  • 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_69d86dae698881908327ef2d67706cb9 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1835eda348190aff492f0ff668cce completed April 17, 2026, 12:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffdbddc25481908fca660c4f14eaff completed May 10, 2026, 1:14 a.m.
Created at: April 10, 2026, 4:56 a.m.