Triple

T6628155
Position Surface form Disambiguated ID Type / Status
Subject The O.C. E149854 entity
Predicate creator P184 FINISHED
Object Josh Schwartz E492339 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: Josh Schwartz | Statement: [The O.C., creator, Josh Schwartz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Josh Schwartz
Context triple: [The O.C., creator, Josh Schwartz]
  • A. Josh Schwartz chosen
    Josh Schwartz is an American television writer and producer best known for creating popular teen dramas such as The O.C., Gossip Girl, and co-creating Marvel’s Runaways.
  • B. Scott Schwartz
    Scott Schwartz is an American former child actor best known for his roles in the films "The Toy" and "A Christmas Story."
  • C. Mitchell Hurwitz
    Mitchell Hurwitz is an American television writer and producer best known for creating the critically acclaimed sitcom "Arrested Development."
  • D. Brad Silberling
    Brad Silberling is an American film and television director known for movies such as "City of Angels," "Casper," and "Lemony Snicket's A Series of Unfortunate Events."
  • E. Daniel Waters
    Daniel Waters is an American screenwriter best known for his sharp, satirical scripts, including the cult classic film "Heathers" and the sci-fi action movie "Demolition Man."
  • 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_69c687ee50048190aa151765bef16193 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6afa2e4a48190ba3c70013bab14f2 completed March 27, 2026, 4:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cbeb04348190957b8e5f098b72bf completed March 27, 2026, 6:26 p.m.
Created at: March 27, 2026, 1:59 p.m.