Triple
T17506515
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mr. Success |
E426329
|
entity |
| Predicate | hasTitle |
P38
|
FINISHED |
| Object | Mr. Success |
—
|
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: Mr. Success | Statement: [Mr. Success, hasTitle, Mr. Success]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mr. Success Context triple: [Mr. Success, hasTitle, Mr. Success]
-
A.
Mr. Success
chosen
Mr. Success is a film featuring actress Samantha Lewes, recognized as one of her notable screen roles.
-
B.
Ladies' Man
"Ladies' Man" is a 1978 novel by American writer Richard Price that follows a young New Yorker’s misadventures in love, sex, and self-discovery amid the gritty urban landscape of the 1970s.
-
C.
The Smell of Success
The Smell of Success is a comedy film produced by Beau Flynn, centered on the quirky world of manure sales in mid-20th-century America.
-
D.
Mr. Wonderful
Mr. Wonderful is a 1993 romantic comedy film about a New York electrician who schemes to find a new husband for his ex-wife so he can afford his dream business.
-
E.
Mr. Wonderful
Mr. Wonderful is a 1956 Broadway musical best known for starring Sammy Davis Jr. and featuring music by composer Jerry Bock.
- 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_69d889dd9164819087b1dc3c9240c870 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e45258b73c81909db581d4f1d27921 |
completed | April 19, 2026, 3:56 a.m. |
Created at: April 10, 2026, 5:48 a.m.