Triple

T12530476
Position Surface form Disambiguated ID Type / Status
Subject Matthew Lillard E299548 entity
Predicate characterPortrayed P1507 FINISHED
Object Stevo E855345 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: Stevo | Statement: [Matthew Lillard, characterPortrayed, Stevo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stevo
Context triple: [Matthew Lillard, characterPortrayed, Stevo]
  • A. Stevo chosen
    Stevo is the rebellious, blue-haired punk protagonist of the cult film "SLC Punk!" who grapples with identity, conformity, and counterculture in 1980s Salt Lake City.
  • B. Štefan
    Štefan is the Slovak form of the given name Stephen, commonly used in Slovakia and other Slovak-speaking communities.
  • C. George Kralovansky
    George Kralovansky is a television producer best known for his executive production work on the live law-enforcement reality series "Live PD."
  • D. Stephan
    Stephan is a masculine given name, commonly used in German- and Dutch-speaking countries, that is a variant of the name Stephen.
  • E. Steffl
    Steffl is the popular nickname for the iconic south tower of St. Stephen's Cathedral in Vienna, a prominent symbol of the city's skyline.
  • 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_69d6ada5cdd48190860d9ce30aff69be completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d95469d100819087c83bc55e3ec9ce completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64bc674e881908673e1f9103cc8be completed May 2, 2026, 7:08 p.m.
Created at: April 8, 2026, 9:57 p.m.