Triple

T9396969
Position Surface form Disambiguated ID Type / Status
Subject The Florida Project E226167 entity
Predicate producer P490 FINISHED
Object Chris Bergoch E839149 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: Chris Bergoch | Statement: [The Florida Project, producer, Chris Bergoch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chris Bergoch
Context triple: [The Florida Project, producer, Chris Bergoch]
  • A. Chris Bergoch chosen
    Chris Bergoch is an American screenwriter and producer best known for his collaborations with director Sean Baker on acclaimed independent films such as "The Florida Project" and "Tangerine."
  • B. Chris Bauermeister
    Chris Bauermeister is an American bassist best known as a founding member of the influential punk rock band Jawbreaker.
  • C. Chris Bilheimer
    Chris Bilheimer is an American graphic designer best known for creating album artwork for bands such as Green Day and R.E.M.
  • D. Michael Schoeffling
    Michael Schoeffling is an American former actor and model best known for his role as Jake Ryan in the 1984 film "Sixteen Candles."
  • E. Kevin Biegel
    Kevin Biegel is an American television writer and producer best known for co-creating the sitcom Cougar Town and working on shows like Scrubs and Enlisted.
  • 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_69ca842f7e3481908bf5bcf52e032dbd completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd51528b2481908ca1f1840d2594b4 completed April 1, 2026, 5:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69d2b56fd9cc819089ed17169d313d8b completed April 5, 2026, 7:18 p.m.
Created at: March 30, 2026, 7:46 p.m.