Triple

T19218496
Position Surface form Disambiguated ID Type / Status
Subject Luzia E480546 entity
Predicate setDesigner P184 FINISHED
Object Eugene Lee 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: Eugene Lee | Statement: [Luzia, setDesigner, Eugene Lee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eugene Lee
Context triple: [Luzia, setDesigner, Eugene Lee]
  • A. Eugene Lee chosen
    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."
  • B. Glenn Rhee
    Glenn Rhee is a resourceful former pizza delivery boy turned key survivor and moral compass in the post-apocalyptic world of The Walking Dead.
  • C. Hancock Lee
    Hancock Lee was a colonial Virginian planter and politician from the prominent Lee family of Virginia.
  • D. Don Lee
    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.
  • E. Don Lee
    Don Lee, also known by his Korean name Ma Dong-seok, is a South Korean-American actor renowned for his tough, charismatic roles in action and thriller films such as "Train to Busan" and various Korean crime dramas.
  • 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_69d8e8cb8c348190b52075823911c869 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fa3c552c8190b22844e5b7adfc50 completed April 20, 2026, 10:04 a.m.
Created at: April 10, 2026, 1:23 p.m.