Triple

T6693824
Position Surface form Disambiguated ID Type / Status
Subject Mount Lee E152694 entity
Predicate namedAfter P63 FINISHED
Object Don Lee E152694 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: Don Lee | Statement: [Mount Lee, namedAfter, Don Lee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Don Lee
Context triple: [Mount Lee, namedAfter, Don Lee]
  • A. Don Lee chosen
    Don Lee was a prominent early 20th-century American broadcasting pioneer and automobile dealer whose influence in Los Angeles led to Mount Lee being named in his honor.
  • B. Don L. Lee
    Don L. Lee, better known as Haki R. Madhubuti, is an influential African American poet, essayist, and educator associated with the Black Arts Movement.
  • C. Eugene Lee
    Eugene Lee was an acclaimed American theatrical set designer best known for his innovative, long-running work on Broadway productions and on "Saturday Night Live."
  • D. Hancock Lee
    Hancock Lee was a colonial Virginian planter and politician from the prominent Lee family of Virginia.
  • E. Paul Lee
    Paul Lee is a British television executive and producer known for leading major networks such as ABC and for overseeing acclaimed series including "Mare of Easttown."
  • 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_69c6880687b08190805278b504d1c92c completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6b1955e448190adbfed7dc28f8c52 completed March 27, 2026, 4:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6f7b97210819086e88624c476fa24 completed March 27, 2026, 9:33 p.m.
Created at: March 27, 2026, 2:05 p.m.