Triple

T20756332
Position Surface form Disambiguated ID Type / Status
Subject Jeff Agoos E510857 entity
Predicate fullName P16 FINISHED
Object Jeffrey Alan Agoos 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: Jeffrey Alan Agoos | Statement: [Jeff Agoos, fullName, Jeffrey Alan Agoos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jeffrey Alan Agoos
Context triple: [Jeff Agoos, fullName, Jeffrey Alan Agoos]
  • A. Jeff Agoos chosen
    Jeff Agoos is a former American soccer defender and U.S. national team regular who became one of Major League Soccer’s most decorated players, winning multiple MLS Cups and earning induction into the National Soccer Hall of Fame.
  • B. Roderick Buie
    Roderick Buie was an individual significant enough in the history or founding of Buies Creek, North Carolina, that the community was named in his honor.
  • C. Gary Dornhoefer
    Gary Dornhoefer is a former Canadian right winger best known for his gritty play and clutch scoring with the Philadelphia Flyers during their "Broad Street Bullies" era in the 1970s.
  • D. Andy Jurgensen
    Andy Jurgensen is a film editor known for his work on acclaimed movies such as Licorice Pizza.
  • E. Michael Shoemaker
    Michael Shoemaker is an illustrator best known for his artwork in the book "Thank You Notes."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69e0b4c909ec8190b05987f1639513f6 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c22fbc4c8190866a888612c6ad23 completed April 21, 2026, 12:17 a.m.
Created at: April 16, 2026, 12:35 p.m.