Triple

T5804446
Position Surface form Disambiguated ID Type / Status
Subject Michelle Sarandos E128707 entity
Predicate spouse P13 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: [Michelle Sarandos, spouse, Ted Sarandos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ted Sarandos
Context triple: [Michelle Sarandos, spouse, 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. 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.
  • D. Tom Ricketts
    Tom Ricketts is an American businessman best known as the chairman and owner of Major League Baseball’s Chicago Cubs.
  • E. Todd Ricketts
    Todd Ricketts is an American businessman and political fundraiser best known as a co-owner of the Chicago Cubs and a member of the prominent Ricketts family.
  • 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_69c00846a0d881909e46841f8e156b64 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02b1304588190b59a18fb7b70a60f completed March 22, 2026, 5:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69c09836d00881908c210b2932d67519 completed March 23, 2026, 1:32 a.m.
Created at: March 22, 2026, 3:52 p.m.