Triple

T12346450
Position Surface form Disambiguated ID Type / Status
Subject Art Stevens E294367 entity
Predicate name P16 FINISHED
Object Art Stevens E294367 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: Art Stevens | Statement: [Art Stevens, name, Art Stevens]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Art Stevens
Context triple: [Art Stevens, name, Art Stevens]
  • A. Art Stevens chosen
    Art Stevens was an American animator and film director best known for his work on classic Walt Disney animated features in the mid-20th century.
  • B. Jack Deerson
    Jack Deerson is a cinematographer best known for his work on the 1971 road movie "Two-Lane Blacktop."
  • C. Hazard Stevens
    Hazard Stevens was a 19th-century American soldier, politician, and mountaineer best known for making the first documented ascent of Mount Rainier.
  • D. Ben Starling
    Ben Starling is a character in John Green’s novel "Paper Towns," known as one of Quentin Jacobsen’s loyal and humorous best friends.
  • E. Walker Edmiston
    Walker Edmiston was an American character actor and voice artist known for his extensive work in television, film, and animation from the 1950s through the 1990s.
  • 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_69d6ab6ccbec8190b09e2d357aa80064 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f7a4a448190aa70d66dc2f406c1 completed April 10, 2026, 6:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6346dd09481908f4c80e89e2f4705 completed May 2, 2026, 5:29 p.m.
Created at: April 8, 2026, 9:53 p.m.