Triple

T7051755
Position Surface form Disambiguated ID Type / Status
Subject Prophet Joseph E163982 entity
Predicate hasSibling P363 FINISHED
Object Benjamin E184721 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: Benjamin | Statement: [Prophet Joseph, hasSibling, Benjamin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Benjamin
Context triple: [Prophet Joseph, hasSibling, Benjamin]
  • A. Benjamin chosen
    Benjamin is one of the twelve tribes of Israel, traditionally descended from Jacob’s youngest son and often associated with valor in battle and a favored status in biblical narratives.
  • B. Benjamin
    Benjamin is the birth name of American comedian, actor, and radio and television star Jack Benny.
  • C. Benjamin
    Benjamin is the given name of the 20th-century Lithuanian-born American artist and social realist Ben Shahn.
  • D. Benjamin
    Benjamin is a masculine given name of Hebrew origin meaning "son of the right hand" or "favored son," widely used in many cultures and languages.
  • E. Benjamin
    Benjamin is the naive, dream-filled protagonist of Mendele Mocher Sforim’s satirical Yiddish novel "The Travels of Benjamin the Third," often likened to a Jewish Don Quixote.
  • 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_69c68861678881909961ddf4d779f750 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e2500570819087200013d859cfe6 completed March 27, 2026, 8:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69c78891bc5081909db384a35b45df4a completed March 28, 2026, 7:51 a.m.
Created at: March 27, 2026, 2:37 p.m.