Triple
T20524490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ted Lewis |
E503898
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Ted Lewis |
—
|
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 Lewis | Statement: [Ted Lewis, name, Ted Lewis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ted Lewis Context triple: [Ted Lewis, name, Ted Lewis]
-
A.
Ted Lewis
Ted Lewis was an American jazz bandleader, clarinetist, and entertainer known for his flamboyant stage presence and catchphrase "Is everybody happy?"
-
B.
Ted Lewis
Ted Lewis was a British crime novelist best known for pioneering the modern British noir genre, particularly through his novel that inspired the film "Get Carter."
-
C.
Bob Lewis
Bob Lewis is an American food systems advocate and organizer known for helping launch New York City’s Union Square Greenmarket and promoting regional agriculture and farmers’ markets.
-
D.
Bill Kelly
Bill Kelly is an American screenwriter best known for writing the fantasy romantic comedy film "Enchanted."
-
E.
Don Whitaker
Don Whitaker is a character in the comedy film "Daddy's Home 2," portrayed as one of the grandfathers whose arrival escalates the family’s holiday chaos.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69e0b4b3a6e08190ae663701f50fab8e |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69f48691c8190af0ac959e92e10d9 |
completed | April 20, 2026, 9:48 p.m. |
Created at: April 16, 2026, 11:37 a.m.