Triple

T13515934
Position Surface form Disambiguated ID Type / Status
Subject Sweetie E322759 entity
Predicate screenwriter P2831 FINISHED
Object Gerard Lee E323602 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: Gerard Lee | Statement: [Sweetie, screenwriter, Gerard Lee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gerard Lee
Context triple: [Sweetie, screenwriter, Gerard Lee]
  • A. Gerard Lee chosen
    Gerard Lee is an Australian screenwriter and novelist best known for co-creating acclaimed television dramas with director Jane Campion, including the series "Top of the Lake."
  • B. Greg Lee
    Greg Lee is an American actor and comedian best known for hosting the 1990s children's geography game show "Where in the World Is Carmen Sandiego?"
  • C. Gordon Lee
    Gordon Lee is an entrepreneur best known as a founder of the Vans footwear and apparel brand.
  • 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 (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_69d80766a21881909f21a1b7421d3b8a completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafa0ed508190b2855171b1945e84 completed April 12, 2026, 2:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75494642881909f33962afe26f427 completed May 3, 2026, 1:58 p.m.
Created at: April 9, 2026, 9:44 p.m.