Triple

T6035968
Position Surface form Disambiguated ID Type / Status
Subject Tobias Fünke E134421 entity
Predicate creator P184 FINISHED
Object Mitchell Hurwitz E99817 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: Mitchell Hurwitz | Statement: [Tobias Fünke, creator, Mitchell Hurwitz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mitchell Hurwitz
Context triple: [Tobias Fünke, creator, Mitchell Hurwitz]
  • A. Mitchell Hurwitz chosen
    Mitchell Hurwitz is an American television writer and producer best known for creating the critically acclaimed sitcom "Arrested Development."
  • B. Brian Koppelman
    Brian Koppelman is an American screenwriter, director, and producer best known for co-writing films like "Rounders" and "Ocean's Thirteen" and co-creating the TV series "Billions."
  • C. 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."
  • D. David Frankel
    David Frankel is an American film and television director best known for helming popular works such as "The Devil Wears Prada" and episodes of "Sex and the City."
  • E. Howard Gordon
    Howard Gordon is an American television writer and producer best known for his work on acclaimed series such as "24" and "Homeland."
  • 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_69c00875db5c819099dd5bb833ec43c2 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c056b4e3ec819089b2d119ea2953fe completed March 22, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1138cb2388190a80562a835388dc3 completed March 23, 2026, 10:18 a.m.
Created at: March 22, 2026, 4:08 p.m.