Triple
T19211683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ted Waitt |
E480370
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Ted Waitt |
—
|
NE NERFINISHED |
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 Waitt | Statement: [Ted Waitt, name, Ted Waitt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ted Waitt Context triple: [Ted Waitt, name, Ted Waitt]
-
A.
Ted Waitt
chosen
Ted Waitt is an American entrepreneur best known as the co-founder of computer manufacturer Gateway, Inc., which became a major PC brand in the 1990s.
-
B.
Cole Palen
Cole Palen was an American aviation enthusiast and collector best known for creating and operating the Old Rhinebeck Aerodrome, a living museum of vintage aircraft and early aviation history.
-
C.
Don Tait
Don Tait was an American screenwriter best known for his work on family-friendly Disney films in the 1960s and 1970s.
-
D.
Ed Guiney
Ed Guiney is an Irish film producer and co-founder of Element Pictures, known for collaborating on acclaimed films such as "The Favourite," "Room," and "Poor Things."
-
E.
Marc Wydell
Marc Wydell is a central character in the animated film "Ron's Gone Wrong," depicted as a socially awkward middle-schooler whose malfunctioning robot friend helps him navigate friendship and growing up in a hyper-connected digital world.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8cb8c348190b52075823911c869 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fa37fc7881908c53e332625dcdb4 |
completed | April 20, 2026, 10:04 a.m. |
Created at: April 10, 2026, 1:21 p.m.