Triple
T19546557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Wallace |
E489068
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Clean Slate |
—
|
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: Clean Slate | Statement: [George Wallace, notableWork, Clean Slate]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clean Slate Context triple: [George Wallace, notableWork, Clean Slate]
-
A.
Clean Slate
chosen
Clean Slate is the English title of the 1981 French film "Coup de torchon," a darkly comic crime drama directed by Bertrand Tavernier and set in a French West African colony.
-
B.
Cleanse
"Cleanse" is a track by the metal band Enemy of the Sun, showcasing their aggressive, experimental sound.
-
C.
Come Clean
"Come Clean" is a pop-rock song best known as Hilary Duff’s 2004 hit single from her album "Metamorphosis."
-
D.
Come Clean
"Come Clean" is a 1993 East Coast hip hop single by Jeru the Damaja, produced by DJ Premier and acclaimed for its minimalist, hard-hitting beat and intricate lyricism.
-
E.
Spotless
Spotless is a Nigerian singer and producer known for his work in the Afrobeats scene and collaborations with prominent artists.
- 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_69d8e8db5b6c8190984b61f91981f575 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63876bacc8190b17e2087de679785 |
completed | April 20, 2026, 2:30 p.m. |
Created at: April 10, 2026, 1:41 p.m.