Triple
T15164156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Purple Mountains |
E362290
|
entity |
| Predicate | hasSingle |
P3282
|
FINISHED |
| Object | “Margaritas at the Mall” |
E1140631
|
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: “Margaritas at the Mall” | Statement: [Purple Mountains, hasSingle, “Margaritas at the Mall”]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: “Margaritas at the Mall” Context triple: [Purple Mountains, hasSingle, “Margaritas at the Mall”]
-
A.
“Margaritas at the Mall”
chosen
“Margaritas at the Mall” is a song by Purple Mountains, known for its wry, melancholic lyrics and indie rock sound crafted by songwriter David Berman.
-
B.
One Margarita
"One Margarita" is a popular country party anthem by American singer Luke Bryan, known for its laid-back beach vibe and catchy, summer-themed lyrics.
-
C.
Margarita
Margarita is a classic tequila-based cocktail typically made with lime juice and orange liqueur, often served in a salt-rimmed glass.
-
D.
Margarita
Margarita is a feminine given name of Spanish origin, equivalent to "Margaret" in English.
-
E.
The Gay Senorita
The Gay Senorita is a stage musical that served as the source material for the 1942 Fred Astaire and Rita Hayworth film "You Were Never Lovelier."
- 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_69d85a087b7c81908baa94a53dac8d68 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0064b21ac81908b793bdbd741bcd8 |
completed | April 15, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fec885d68c8190999529b69bc34fec |
completed | May 9, 2026, 5:39 a.m. |
Created at: April 10, 2026, 3:08 a.m.