Triple

T9880769
Position Surface form Disambiguated ID Type / Status
Subject Randy Foye E180797 entity
Predicate fullName P16 FINISHED
Object Randy Foye E180797 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: Randy Foye | Statement: [Randy Foye, fullName, Randy Foye]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Randy Foye
Context triple: [Randy Foye, fullName, Randy Foye]
  • A. Randy Foye chosen
    Randy Foye is an American former NBA guard known for his standout collegiate career at Villanova University and his long-range shooting and clutch scoring in the pros.
  • B. J. J. Redick
    J. J. Redick is a former American professional basketball player renowned as one of the most prolific three-point shooters in college basketball history and a long-time NBA sharpshooter.
  • C. Tyus Edney
    Tyus Edney is an American former professional basketball player and NCAA champion point guard best known for his clutch play at UCLA and a successful European career.
  • D. Sean Whalen
    Sean Whalen is an American character actor known for his distinctive, often quirky roles in film and television, including horror and cult favorites.
  • E. Brent Jennings
    Brent Jennings is an American character actor known for his work in film and television, including roles in projects like "The Serpent and the Rainbow" and the TV series "Lodge 49."
  • 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_69ca828082cc8190a40f8d299caa6545 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cdb41639c88190a9ef3d950485e3ab completed April 2, 2026, 12:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1e4883448819094f826618a4e3005 completed April 5, 2026, 4:26 a.m.
Created at: March 30, 2026, 8:38 p.m.