Triple
T21600161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parker Lewis Can't Lose |
E533014
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object | Tom Spezialy |
—
|
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: Tom Spezialy | Statement: [Parker Lewis Can't Lose, creator, Tom Spezialy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tom Spezialy Context triple: [Parker Lewis Can't Lose, creator, Tom Spezialy]
-
A.
Tom Spezialy
chosen
Tom Spezialy is an American television writer and producer known for his work on acclaimed series such as Watchmen and Desperate Housewives.
-
B.
Mitch Pileggi
Mitch Pileggi is an American actor best known for his long-running role as FBI Assistant Director Walter Skinner on the television series "The X-Files."
-
C.
Christopher Gattelli
Christopher Gattelli is a Tony Award–winning American choreographer known for his dynamic work on Broadway musicals, including the stage adaptation of Disney’s "Newsies."
-
D.
Kirk DeMicco
Kirk DeMicco is an American screenwriter and film director best known for his work on animated features such as "The Croods."
-
E.
Ted Briskin
Ted Briskin was an American businessman best known as the first husband of Hollywood actress and singer Betty Hutton.
- 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_69e0c46364608190a337dc8720dc2a35 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef17e12fdc8190ab6125ea8d294717 |
completed | April 27, 2026, 8:01 a.m. |
Created at: April 16, 2026, 6:32 p.m.