Triple
T23099005
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suzanne de Passe |
E575973
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Smart Guy |
—
|
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: Smart Guy | Statement: [Suzanne de Passe, notableWork, Smart Guy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Smart Guy Context triple: [Suzanne de Passe, notableWork, Smart Guy]
-
A.
Smart Guy
chosen
Smart Guy is an American sitcom that aired in the late 1990s, following a 10-year-old child prodigy who skips several grades to attend high school with his older siblings.
-
B.
Smart Ass
Smart Ass is a popular medium-roast coffee blend by Kicking Horse Coffee known for its bright, sweet, and chocolaty flavor profile.
-
C.
The Good Guy
"The Good Guy" is a 2009 romantic dramedy film about the complexities of modern relationships and Wall Street culture, starring Trini Alvarado among its cast.
-
D.
The Other Guy
The Other Guy is an Australian comedy television series that follows a radio host rebuilding his life after a messy breakup, created and directed by filmmaker Gracie Otto.
-
E.
Mr. Nice Guy
Mr. Nice Guy is a 1997 Hong Kong action-comedy film starring Jackie Chan as a TV chef who becomes entangled with a crime syndicate.
- 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_69e245c060b48190a9bd61a47a16db17 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18de71a088190b91918e6c4ea6e97 |
completed | April 29, 2026, 4:49 a.m. |
Created at: April 17, 2026, 3:58 p.m.