Triple
T12683431
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | War Machine |
E303003
|
entity |
| Predicate | producer |
P490
|
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: [War Machine, producer, Ted Sarandos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ted Sarandos Context triple: [War Machine, producer, 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_69d7bdee64a08190801c6d470aefd723 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961d68358819095bdaab8adf1dcf0 |
completed | April 10, 2026, 8:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f671a733a48190b55d296573c86eaf |
completed | May 2, 2026, 9:50 p.m. |
Created at: April 9, 2026, 5:21 p.m.