Triple

T12571328
Position Surface form Disambiguated ID Type / Status
Subject Netflix E295607 entity
Predicate hasChiefExecutiveOfficer P2568 FINISHED
Object Ted Sarandos E22304 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: Ted Sarandos | Statement: [Netflix, hasChiefExecutiveOfficer, Ted Sarandos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ted Sarandos
Context triple: [Netflix, hasChiefExecutiveOfficer, Ted Sarandos]
  • A. Ted Sarandos chosen
    Ted Sarandos is an American media executive best known as the longtime chief content officer and co-CEO of Netflix, where he has overseen the company’s rise as a dominant global streaming and original content powerhouse.
  • B. Michelle Sarandos
    Michelle Sarandos is the wife of Netflix co-CEO and chief content officer Ted Sarandos.
  • C. Tilman J. Fertitta
    Tilman J. Fertitta is an American billionaire businessman and restaurateur, best known as the owner of the Houston Rockets and chairman and CEO of Landry’s, Inc.
  • D. Brian McCaskey
    Brian McCaskey is a member of the McCaskey family that owns the Chicago Bears and serves as an executive within the NFL franchise’s front office.
  • E. Tom Ricketts
    Tom Ricketts is an American businessman best known as the chairman and owner of Major League Baseball’s Chicago Cubs.
  • 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_69d6ad9cac2c81908e8a7bed82d1e21d completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d954a422c88190a22cc34d2eac00ce completed April 10, 2026, 7:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65eb8ec888190b46a0b48840efd20 completed May 2, 2026, 8:29 p.m.
Created at: April 8, 2026, 11:50 p.m.