Triple

T12107352
Position Surface form Disambiguated ID Type / Status
Subject Orion Pictures E288335 entity
Predicate foundedBy P104 FINISHED
Object Mike Medavoy E249133 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: Mike Medavoy | Statement: [Orion Pictures, foundedBy, Mike Medavoy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mike Medavoy
Context triple: [Orion Pictures, foundedBy, Mike Medavoy]
  • A. Mike Medavoy chosen
    Mike Medavoy is an American film producer and studio executive known for backing numerous acclaimed and influential Hollywood films.
  • B. Greg Medavoy
    Greg Medavoy is a mild-mannered, often self-doubting detective whose personal growth and quiet competence provide both comic relief and emotional depth throughout the TV series "NYPD Blue."
  • C. Michael Aaron Seaver
    Michael Aaron Seaver is the full given name of Mike Seaver, the fictional teenage son from the 1980s American sitcom "Growing Pains."
  • D. Mike Montemerlo
    Mike Montemerlo is a roboticist and computer scientist known for his work on autonomous vehicles as a key member of Stanford's pioneering self-driving car efforts.
  • E. Rick Blangiardi
    Rick Blangiardi is an American politician and former television executive who serves as the mayor of Honolulu, Hawaii.
  • 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_69d6ab4a5c448190a110d1273314b21a completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915632dc48190863e0239cef37e24 completed April 10, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e46d588819086bfde1b544cab82 completed May 2, 2026, 3:54 p.m.
Created at: April 8, 2026, 9:49 p.m.