Triple
T12284838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Margarita |
E292802
|
entity |
| Predicate | hasIngredient |
P5291
|
FINISHED |
| Object |
Cointreau
Cointreau is a French orange-flavored triple sec liqueur known for its clear, crisp citrus profile and frequent use in classic cocktails.
|
E974827
|
NE FINISHED |
How this triple was built (4 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: [Margarita, hasIngredient, Cointreau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cointreau Context triple: [Margarita, hasIngredient, Cointreau]
-
A.
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.
-
B.
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.
-
C.
Hennessy
Hennessy is a surname most prominently associated with John L. Hennessy, a renowned computer scientist and former president of Stanford University.
-
D.
Hennessy
Hennessy is a world-renowned French cognac producer, recognized as one of the leading and most prestigious brands in the global spirits industry.
-
E.
Hennessy
Hennessy was a prominent American Thoroughbred racehorse and successful sire known for producing multiple Grade 1 winners and influential bloodlines.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Cointreau Triple: [Margarita, hasIngredient, Cointreau]
Generated description
Cointreau is a French orange-flavored triple sec liqueur known for its clear, crisp citrus profile and frequent use in classic cocktails.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cointreau Target entity description: Cointreau is a French orange-flavored triple sec liqueur known for its clear, crisp citrus profile and frequent use in classic cocktails.
-
A.
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.
-
B.
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.
-
C.
Hennessy
Hennessy is a surname most prominently associated with John L. Hennessy, a renowned computer scientist and former president of Stanford University.
-
D.
Hennessy
Hennessy is a world-renowned French cognac producer, recognized as one of the leading and most prestigious brands in the global spirits industry.
-
E.
Hennessy
Hennessy was a prominent American Thoroughbred racehorse and successful sire known for producing multiple Grade 1 winners and influential bloodlines.
- F. None of above. chosen
Provenance (5 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_69d6ab690ad081908c0ed3870ec82d53 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91d1ede3081908647595739c3e996 |
completed | April 10, 2026, 3:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e7315608190963c714a0b128dbb |
completed | May 2, 2026, 3:55 p.m. |
| NEDg | Description generation | batch_69f61f9386548190a749445a404db3a2 |
completed | May 2, 2026, 4 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6207f164c8190b663a50ee3c761d6 |
completed | May 2, 2026, 4:04 p.m. |
Created at: April 8, 2026, 9:52 p.m.