Triple
T13094521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Smokey Joe's Cafe |
E310547
|
entity |
| Predicate | featuresWork |
P36250
|
FINISHED |
| Object | Love Potion No. 9 |
E310545
|
NE FINISHED |
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: Love Potion No. 9 | Statement: [Smokey Joe's Cafe, featuresWork, Love Potion No. 9]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Love Potion No. 9 Context triple: [Smokey Joe's Cafe, featuresWork, Love Potion No. 9]
-
A.
Love Potion No. 9
chosen
Love Potion No. 9 is a 1959 doo-wop song, first recorded by The Clovers, that humorously tells the story of a man who visits a gypsy to obtain a magical love potion.
-
B.
Love Potion No. 9
Love Potion No. 9 is a 1992 romantic comedy film about a magical love serum that causes humorous romantic chaos.
-
C.
The Love Potion
The Love Potion is a Pre-Raphaelite-style painting by British artist Evelyn De Morgan, depicting a richly robed sorceress preparing a magical draught in a symbol-laden, medieval interior.
-
D.
Mad Love
Mad Love is a 2010s American television series that blends romantic comedy with ensemble relationship drama set in New York City.
-
E.
Mad Love
"Mad Love" is a 1935 psychological horror film starring Peter Lorre (credited as László Löwenstein), known for its macabre tale of obsession and surgical mutilation.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d806a733548190989cfd4ce981ca33 |
completed | April 9, 2026, 8:05 p.m. |
| NER | Named-entity recognition | batch_69d9813cd1b881909871a318fdd60672 |
completed | April 10, 2026, 11:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6e27417308190b388be4a31ce4b5d |
completed | May 3, 2026, 5:51 a.m. |
Created at: April 9, 2026, 9:03 p.m.