Triple
T2717759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Era Drinks |
E60007
|
entity |
| Predicate | includesCocktail |
P41823
|
FINISHED |
| Object |
Margarita
Margarita is a classic tequila-based cocktail typically made with lime juice and orange liqueur, often served in a salt-rimmed glass.
|
E292802
|
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: Margarita | Statement: [New Era Drinks, includesCocktail, Margarita]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Margarita Context triple: [New Era Drinks, includesCocktail, Margarita]
-
A.
Margarita
Margarita is a feminine given name of Spanish origin, equivalent to "Margaret" in English.
-
B.
The Bottle of Anís del Mono
The Bottle of Anís del Mono is a famous Cubist still-life painting by Juan Gris, notable for its fragmented depiction of a popular Spanish anisette bottle.
-
C.
Vesper
Vesper is the evening star, traditionally identified with the planet Venus as seen in the western sky after sunset.
-
D.
Granadina
Granadina is the Spanish term used to refer to a female inhabitant or native of the city of Granada in Spain.
-
E.
Mariquita
Mariquita is a historic town in central Colombia known as an early colonial settlement and former mining center.
- 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: Margarita Triple: [New Era Drinks, includesCocktail, Margarita]
Generated description
Margarita is a classic tequila-based cocktail typically made with lime juice and orange liqueur, often served in a salt-rimmed glass.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Margarita Target entity description: Margarita is a classic tequila-based cocktail typically made with lime juice and orange liqueur, often served in a salt-rimmed glass.
-
A.
Margarita
Margarita is a feminine given name of Spanish origin, equivalent to "Margaret" in English.
-
B.
The Bottle of Anís del Mono
The Bottle of Anís del Mono is a famous Cubist still-life painting by Juan Gris, notable for its fragmented depiction of a popular Spanish anisette bottle.
-
C.
Vesper
Vesper is the evening star, traditionally identified with the planet Venus as seen in the western sky after sunset.
-
D.
Granadina
Granadina is the Spanish term used to refer to a female inhabitant or native of the city of Granada in Spain.
-
E.
Mariquita
Mariquita is a historic town in central Colombia known as an early colonial settlement and former mining center.
- 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_69ab4b746d248190958e052045c09255 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdd1fc30c81909ac06588d50abdf8 |
completed | March 7, 2026, 8:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afb68c3ccc81909995d17651af27ed |
completed | March 10, 2026, 6:13 a.m. |
| NEDg | Description generation | batch_69afb77f60c08190928bd6a79fc82e8b |
completed | March 10, 2026, 6:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afb8205840819084ede24192bb0aa3 |
completed | March 10, 2026, 6:20 a.m. |
Created at: March 6, 2026, 9:55 p.m.