Triple
T12888571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andrew Mack |
E308296
|
entity |
| Predicate | roleAfterAcquisition |
P80110
|
FINISHED |
| Object | remained as Teavana CEO post-acquisition |
—
|
LITERAL 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: remained as Teavana CEO post-acquisition | Statement: [Andrew Mack, roleAfterAcquisition, remained as Teavana CEO post-acquisition]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleAfterAcquisition Context triple: [Andrew Mack, roleAfterAcquisition, remained as Teavana CEO post-acquisition]
-
A.
roleAfterConversion
Indicates the role or position an entity holds after undergoing a conversion, transition, or change from a previous state or role.
-
B.
roleAfterRefounding
Indicates the role or position an entity holds following the refounding or re-establishment of an organization, institution, or similar entity.
-
C.
roleInAcquisition
chosen
Indicates that an entity holds a specific role or function within an acquisition event or transaction.
-
D.
roleAfterManaging
Indicates the role or position an entity assumes after it has finished managing another entity or activity.
-
E.
roleAfterWar
Indicates the role or position an entity assumes following the end of a war or armed conflict.
- F. None of above.
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_69d7bdf7c1f0819098102569a8d8cbf5 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97c7f91d08190aac2f6419d3ba992 |
completed | April 10, 2026, 10:41 p.m. |
| PD | Predicate disambiguation | batch_69d96fa55b888190ab1612e93c41aec4 |
completed | April 10, 2026, 9:46 p.m. |
Created at: April 9, 2026, 5:39 p.m.