Triple
T12373445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Singapore Sling |
E295059
|
entity |
| Predicate | containsIngredient |
P12771
|
FINISHED |
| Object | Cointreau |
E974827
|
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: Cointreau | Statement: [Singapore Sling, containsIngredient, Cointreau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cointreau Context triple: [Singapore Sling, containsIngredient, Cointreau]
-
A.
Cointreau
chosen
Cointreau is a French orange-flavored triple sec liqueur known for its clear, crisp citrus profile and frequent use in classic cocktails.
-
B.
Grand Marnier
Grand Marnier is a French orange-flavored liqueur made from a blend of cognac and distilled essence of bitter orange, commonly used in cocktails and desserts.
-
C.
Branson Cognac
Branson Cognac is a premium cognac brand associated with rapper and entrepreneur 50 Cent, known for its luxury positioning in the spirits market.
-
D.
Seagram’s Gin
Seagram’s Gin is a long-established American gin brand known for its smooth, mellow flavor and wide availability in the mainstream spirits market.
-
E.
Hennessy
Hennessy is a surname most prominently associated with John L. Hennessy, a renowned computer scientist and former president of Stanford University.
- 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_69d6ab6d8a4081908636601e69ddf262 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93fa8ca7c8190b3f8e9c2ec23e837 |
completed | April 10, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63473efd481909b2061f3b19e1aaf |
completed | May 2, 2026, 5:29 p.m. |
Created at: April 8, 2026, 9:54 p.m.