Triple

T13481243
Position Surface form Disambiguated ID Type / Status
Subject Big Top Pee-wee E318375 entity
Predicate cinematographyBy P1953 FINISHED
Object Steven Poster E82435 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: Steven Poster | Statement: [Big Top Pee-wee, cinematographyBy, Steven Poster]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Steven Poster
Context triple: [Big Top Pee-wee, cinematographyBy, Steven Poster]
  • A. Steven Poster chosen
    Steven Poster is an American cinematographer known for his work on films such as Donnie Darko, Rocky V, and numerous other feature and television projects.
  • B. Steven Bauer
    Steven Bauer is a Cuban-American actor best known for his role as Manny Ribera in the film "Scarface" and for numerous supporting roles in film and television.
  • C. Steven Hoffman
    Steven Hoffman is a relatively obscure individual whose primary distinguishing feature is sharing the common surname Hoffman, with no widely recognized public achievements or roles.
  • D. Mark Stoermer
    Mark Stoermer is an American musician best known as the longtime bassist for the rock band The Killers.
  • E. Steven Antin
    Steven Antin is an American actor, screenwriter, and director best known for creating and directing the musical film "Burlesque."
  • 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_69d806b6bfec819089222715b2e86c8e completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf36c6b08190ba99400600e0b662 completed April 12, 2026, 2:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75d8c942481909858e340944ed57c completed May 3, 2026, 2:37 p.m.
Created at: April 9, 2026, 9:42 p.m.