Triple

T1252185
Position Surface form Disambiguated ID Type / Status
Subject Red Dust E26901 entity
Predicate screenwriter P2831 FINISHED
Object John Lee Mahin E137623 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: John Lee Mahin | Statement: [Red Dust, screenwriter, John Lee Mahin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Lee Mahin
Context triple: [Red Dust, screenwriter, John Lee Mahin]
  • A. John Lee Mahin chosen
    John Lee Mahin was an American screenwriter known for his work on numerous classic Hollywood films from the 1930s through the 1950s.
  • B. Hancock Lee
    Hancock Lee was a colonial Virginian planter and politician from the prominent Lee family of Virginia.
  • C. Stephen D. Lee
    Stephen D. Lee was a Confederate general in the American Civil War who later became a prominent postwar civic leader and the first president of the Mississippi Agricultural and Mechanical College (now Mississippi State University).
  • D. Mason Lee
    Mason Lee is a Taiwanese-American actor known for roles in films such as "The Hangover Part II" and for being the son of acclaimed director Ang Lee.
  • E. Xiaogang (Marshall) Kay
    Xiaogang (Marshall) Kay is a distinguished geologist recognized for his significant contributions to the earth sciences, honored with the prestigious Wollaston Medal.
  • 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_69a49487a9c48190ba9b05348fd1b53f completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4bf875cf48190b6781d41097ee39b completed March 1, 2026, 10:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69aca2efc344819081d79b9440676796 completed March 7, 2026, 10:13 p.m.
Created at: March 1, 2026, 7:47 p.m.