Triple
T17076717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Starry |
E414366
|
entity |
| Predicate | replacedBrand |
P1501
|
FINISHED |
| Object | Sierra Mist |
E414365
|
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: Sierra Mist | Statement: [Starry, replacedBrand, Sierra Mist]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sierra Mist Context triple: [Starry, replacedBrand, Sierra Mist]
-
A.
Sierra Mist
chosen
Sierra Mist is a lemon-lime flavored soft drink brand produced by PepsiCo as a competitor to Sprite and 7UP.
-
B.
Aquafina
Aquafina is a popular brand of purified bottled drinking water owned and marketed by PepsiCo.
-
C.
Mountain Dew
Mountain Dew is a popular citrus-flavored soft drink brand known for its high caffeine content and association with youth and extreme sports.
-
D.
San Pellegrino
San Pellegrino is an Italian brand best known for its naturally carbonated mineral water and flavored sparkling beverages.
-
E.
Natural Light Seltzer
Natural Light Seltzer is a flavored alcoholic seltzer brand produced under the Natural Light beer label, known for its budget-friendly, fruit-inspired hard seltzer offerings.
- 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_69d886cef44c8190ba56c44b4e863e64 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbc559388190b685504cca6ed62b |
completed | April 18, 2026, 7:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012edfda588190aff6c6d4c8d64ddd |
completed | May 11, 2026, 1:20 a.m. |
Created at: April 10, 2026, 5:34 a.m.