Triple

T23545878
Position Surface form Disambiguated ID Type / Status
Subject McDonald's All-American E577891 entity
Predicate hasAlumni P51 FINISHED
Object Chris Paul 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: Chris Paul | Statement: [McDonald's All-American, hasAlumni, Chris Paul]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chris Paul
Context triple: [McDonald's All-American, hasAlumni, Chris Paul]
  • A. Chris Paul chosen
    Chris Paul is an American professional basketball point guard widely regarded as one of the best playmakers and floor generals in NBA history.
  • B. Patrick Beverley
    Patrick Beverley is an American professional basketball player known for his tenacious perimeter defense, high energy, and gritty, hard-nosed playing style in the NBA.
  • C. Shane Battier
    Shane Battier is a former American professional basketball player renowned for his defensive prowess, high basketball IQ, and key contributions to multiple NBA championship teams.
  • D. Deron Williams
    Deron Williams is a former NBA All-Star point guard best known for his prime years leading the Utah Jazz and later playing for the Brooklyn Nets.
  • E. Cole Anthony
    Cole Anthony is an American professional basketball player and dynamic scoring point guard in the NBA.
  • 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.