Triple

T4400226
Position Surface form Disambiguated ID Type / Status
Subject Benjamin Mako Hill E93596 entity
Predicate givenName P17 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: [Benjamin Mako Hill, givenName, Benjamin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Benjamin
Context triple: [Benjamin Mako Hill, givenName, Benjamin]
  • A. Benjamin
    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 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.
  • 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_69b345158c748190a2c040fce2da9980 completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b352cd71ec8190a62320fd072f744f completed March 12, 2026, 11:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5f5f2310c8190934ba9768b68dd45 completed March 14, 2026, 11:57 p.m.
Created at: March 12, 2026, 11:28 p.m.