Triple
T20599998
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nancy Mack |
E506149
|
entity |
| Predicate | coFounded |
P104
|
FINISHED |
| Object | Teavana |
—
|
NE NERFINISHED |
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: Teavana | Statement: [Nancy Mack, coFounded, Teavana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Teavana Context triple: [Nancy Mack, coFounded, Teavana]
-
A.
Teavana
chosen
Teavana is a specialty tea retailer and brand known for its loose-leaf teas, tea accessories, and tea-centric beverages.
-
B.
Lenore Coffee
Lenore Coffee was an American screenwriter and playwright known for her prolific work in Hollywood melodramas and adaptations from the silent era through the mid-20th century.
-
C.
Joffrey’s Coffee & Tea Company
Joffrey’s Coffee & Tea Company is a specialty coffee and tea brand best known as the official coffee provider throughout Walt Disney World and other Disney destinations.
-
D.
Marley Coffee
Marley Coffee is an organic, ethically sourced coffee company inspired by the legacy and values of the Marley family and co-founded by Rohan Marley.
-
E.
Fuze Tea
Fuze Tea is a ready-to-drink iced tea beverage brand owned and marketed globally by The Coca-Cola Company.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4ba6ae88190af871e1f9522c704 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6aa1ef9ac8190b05e23c149529cb9 |
completed | April 20, 2026, 10:35 p.m. |
Created at: April 16, 2026, 11:41 a.m.