Triple

T10224106
Position Surface form Disambiguated ID Type / Status
Subject Ben Affleck E242656 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: [Ben Affleck, givenName, Benjamin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Benjamin
Context triple: [Ben Affleck, 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 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.
  • D. Benjamin
    "Benjamin" is a British comedy-drama film starring Joel Fry, known for its introspective and offbeat portrayal of a young filmmaker navigating love and self-doubt.
  • E. 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.
  • 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_69d381ae26c48190985abd0e25ee5d04 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d3aa84a9ac819093d551005a1c8f3d completed April 6, 2026, 12:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69d6a8457e9c819085f222bb002be892 completed April 8, 2026, 7:11 p.m.
Created at: April 6, 2026, 11:11 a.m.