Triple

T23545885
Position Surface form Disambiguated ID Type / Status
Subject McDonald's All-American E577891 entity
Predicate hasAlumni P51 FINISHED
Object Jayson Tatum 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: Jayson Tatum | Statement: [McDonald's All-American, hasAlumni, Jayson Tatum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jayson Tatum
Context triple: [McDonald's All-American, hasAlumni, Jayson Tatum]
  • A. Jayson Tatum chosen
    Jayson Tatum is an American professional basketball player and multi-time NBA All-Star known for his scoring ability and versatility as a forward for the Boston Celtics.
  • B. Jaylen Brown
    Jaylen Brown is an American professional basketball player and NBA All-Star known for his scoring, athleticism, and key role with the Boston Celtics.
  • C. Michael Peirce
    Michael Peirce is a political figure who ran for governor in New Hampshire’s 2018 gubernatorial election.
  • D. Chauncey Forward
    Chauncey Forward was a 19th-century American lawyer and Democratic politician from Pennsylvania who served in the U.S. House of Representatives.
  • E. Kyrie Irving
    Kyrie Irving is an American professional basketball player and NBA champion known for his elite ball-handling, clutch scoring, and All-Star career with multiple teams.
  • 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_69e245f9d5d08190a4a20004e1784e20 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f1aeca3a408190899989fc8175e9c5 completed April 29, 2026, 7:10 a.m.
Created at: April 17, 2026, 6:11 p.m.