Triple
T23216557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pierre Morel |
E580760
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Peppermint |
—
|
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: Peppermint | Statement: [Pierre Morel, notableWork, Peppermint]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peppermint Context triple: [Pierre Morel, notableWork, Peppermint]
-
A.
Peppermint
chosen
Peppermint is a 2018 American action thriller film starring Jennifer Garner as a vigilante seeking revenge for her family's murder.
-
B.
Peppermint
Peppermint is a sharp-tongued, tech-savvy ally and strategist who guides the protagonist in the rhythm-action game Hi-Fi Rush.
-
C.
Pepperminta
Pepperminta is an experimental feature film by Swiss visual artist Pipilotti Rist that blends surreal imagery, vivid color, and playful feminist themes in a dreamlike narrative.
-
D.
Peppermint Candy
Peppermint Candy is a critically acclaimed 1999 South Korean drama film by Lee Chang-dong that traces a man's life in reverse to explore personal trauma and the turbulent modern history of Korea.
-
E.
Kent Menthol
Kent Menthol is a menthol-flavored variant of the Kent brand of cigarettes, offering a minty, cooling smoking experience.
- 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_69e2460389408190be74f41d217799a9 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f19165949c81908e4d66a8a2b0a25a |
completed | April 29, 2026, 5:04 a.m. |
Created at: April 17, 2026, 4:08 p.m.