Triple

T20442307
Position Surface form Disambiguated ID Type / Status
Subject Gera E501425 entity
Predicate associatedWithPerson P37 FINISHED
Object Benjamin NE NERFINISHED

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: [Gera, associatedWithPerson, Benjamin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Benjamin
Context triple: [Gera, associatedWithPerson, Benjamin]
  • A. Benjamin
    Benjamin is the given name of Benjamin "Bugsy" Siegel, the notorious American mobster who played a key role in the development of Las Vegas.
  • B. Benjamin
    Benjamin is the middle name of Albert Benjamin "Happy" Chandler, a prominent American politician and former Commissioner of Major League Baseball.
  • C. 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.
  • D. Benjamin
    Benjamin is the middle name of the American abolitionist, reformer, and biographer Franklin Benjamin Sanborn.
  • E. Benjamin
    Benjamin was a Russian Orthodox metropolitan of Petrograd who became known as a New Martyr after his execution by the Bolsheviks in 1922.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

Provenance (2 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_69e0b4ac0a1c81908845d0f8a56abce8 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e685f3b794819080745b135a305ba7 completed April 20, 2026, 8 p.m.
Created at: April 16, 2026, 11:32 a.m.