Triple

T14205282
Position Surface form Disambiguated ID Type / Status
Subject Richard Tee E352076 entity
Predicate name P16 FINISHED
Object Richard Tee E352076 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: Richard Tee | Statement: [Richard Tee, name, Richard Tee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Richard Tee
Context triple: [Richard Tee, name, Richard Tee]
  • A. Richard Tee chosen
    Richard Tee was an American pianist, organist, and studio musician renowned for his soulful, gospel-influenced keyboard work on countless pop, R&B, and jazz recordings from the 1970s and 1980s.
  • B. Mo Pitney
    Mo Pitney is an American country music singer-songwriter known for his traditional, roots-oriented sound and heartfelt storytelling.
  • C. Tyler Dawson
    Tyler Dawson is a central character in the 1938 adventure film "Spawn of the North," set in the rugged Alaskan frontier.
  • D. Donavon Frankenreiter
    Donavon Frankenreiter is an American singer-songwriter and surfer known for his laid-back, folk-rock sound and close association with Jack Johnson and the surf music scene.
  • E. Corbin Bleu
    Corbin Bleu is an American actor, singer, and dancer best known for his breakout role in Disney Channel’s High School Musical franchise and subsequent work in film, television, and theater.
  • 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_69d827894ac0819097803e57f3227b23 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61f6d4d481909128084e82e6a58a completed April 14, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd1951421c81908959634e66857b61 completed May 7, 2026, 10:59 p.m.
Created at: April 10, 2026, 1:05 a.m.