Triple
T31591876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Corie Barry |
E806117
|
entity |
| Predicate | startTimeOfPosition CEO of Best Buy |
P199342
|
FINISHED |
| Object | 2019 |
—
|
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: 2019 | Statement: [Corie Barry, startTimeOfPosition CEO of Best Buy, 2019]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTimeOfPosition CEO of Best Buy Context triple: [Corie Barry, startTimeOfPosition CEO of Best Buy, 2019]
-
A.
leadershipPosition
Indicates that one entity holds a role of authority, guidance, or decision-making responsibility over others within an organization, group, or context.
-
B.
coFounderWasCEOOf
Indicates that a person who co-founded an organization also served as its Chief Executive Officer (CEO) at some point.
-
C.
formerCEO
Indicates that one entity previously held, but no longer holds, the position of chief executive officer of the other entity.
-
D.
underlyingCompanyCEOAtFormation
Indicates that a person was the CEO of the underlying company at the time the company was formed.
-
E.
returnedAsCEO
Indicates that an individual has come back to a company to serve again in the role of Chief Executive Officer.
- F. None of above. chosen
Provenance (4 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_69f348d4891c8190b02bae3c8ecb68b7 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69ff2fbae9b48190847eefa1c227d43e |
completed | May 9, 2026, 12:59 p.m. |
| PD | Predicate disambiguation | batch_69ff2f2218048190a32224a648182b5d |
completed | May 9, 2026, 12:57 p.m. |
| PDg | Predicate description generation | batch_69ff2fb9e46c8190b36b3e0bc84f114c |
completed | May 9, 2026, 12:59 p.m. |
Created at: April 30, 2026, 10:28 p.m.