Triple

T18073249
Position Surface form Disambiguated ID Type / Status
Subject Ride the Pink Horse E432485 entity
Predicate starring P1507 FINISHED
Object Art Smith 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: Art Smith | Statement: [Ride the Pink Horse, starring, Art Smith]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Art Smith
Context triple: [Ride the Pink Horse, starring, Art Smith]
  • A. Art Smith
    Art Smith is an American celebrity chef and restaurateur best known for his Southern-inspired cuisine and for serving as a personal chef to high-profile clients, including Oprah Winfrey.
  • B. Art Smith chosen
    Art Smith was an American character actor known for his supporting roles in classic film noir and drama during the 1940s and 1950s.
  • C. Carl Smith
    Carl Smith was an American country music singer and guitarist prominent in the 1950s, known for hits like "Hey Joe" and for his influential honky-tonk style.
  • D. Phil Smith
    Phil Smith was an American professional basketball player best known as a two-time NBA All-Star guard and key contributor to the Golden State Warriors’ 1975 championship team.
  • E. Phil Smith
    Phil Smith was a mountaineer known for making the first recorded ascent of Middle Teton in the Teton Range of Wyoming.
  • 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_69d8b9070cac81909fa9473fb1c3f1c7 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ccefcdc4819086d0b224731bfc4d completed April 19, 2026, 12:39 p.m.
Created at: April 10, 2026, 10:26 a.m.