Triple
T10964237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Born Here Live Here Die Here |
E259053
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | One Margarita |
E897229
|
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: One Margarita | Statement: [Born Here Live Here Die Here, hasTrack, One Margarita]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: One Margarita Context triple: [Born Here Live Here Die Here, hasTrack, One Margarita]
-
A.
One Margarita
chosen
"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.
-
B.
Margarita
Margarita is a classic tequila-based cocktail typically made with lime juice and orange liqueur, often served in a salt-rimmed glass.
-
C.
Margarita
Margarita is a feminine given name of Spanish origin, equivalent to "Margaret" in English.
-
D.
Tequila and Bonetti
Tequila and Bonetti is an early-1990s American comedy-drama television series about a New York cop partnered with a talking police dog in a California beach town.
-
E.
Tequila Sunrise
Tequila Sunrise is a popular tequila-based cocktail typically made with orange juice and grenadine, known for its layered, sunrise-like appearance.
- 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_69d6aa88500c819097d7032ca578e74f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d77147f7108190a3b68ba1dd1c130e |
completed | April 9, 2026, 9:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3449113f08190b83ffbf1b4c46518 |
completed | April 18, 2026, 8:45 a.m. |
Created at: April 8, 2026, 9:23 p.m.