Triple

T16977507
Position Surface form Disambiguated ID Type / Status
Subject Binyamin E411850 entity
Predicate nameVariant P744 FINISHED
Object Benjamin E342186 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: [Binyamin, nameVariant, Benjamin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Benjamin
Context triple: [Binyamin, nameVariant, Benjamin]
  • A. Benjamin
    Benjamin is the given name of the 20th-century Lithuanian-born American artist and social realist Ben Shahn.
  • B. Benjamin chosen
    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.
  • C. 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.
  • D. Benjamin
    Benjamin is the given first name of the American film producer and studio executive B. P. Schulberg.
  • E. Benjamin
    Benjamin is the given name of Benjamin Breckinridge Warfield, a prominent American Presbyterian theologian and professor at Princeton Theological Seminary in the late 19th and early 20th centuries.
  • 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_69d886ca8f348190812768ea8d5055ce completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d184f2cc81908ac629c8f87696f8 completed April 18, 2026, 6:46 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00dc04f60081909b7b276a4010c321 completed May 10, 2026, 7:27 p.m.
Created at: April 10, 2026, 5:32 a.m.