Triple
T11290525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Atari Jaguar |
E267310
|
entity |
| Predicate | companyStatusImpact |
P84409
|
FINISHED |
| Object | one of Atari Corporation's last consoles |
—
|
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: one of Atari Corporation's last consoles | Statement: [Atari Jaguar, companyStatusImpact, one of Atari Corporation's last consoles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: companyStatusImpact Context triple: [Atari Jaguar, companyStatusImpact, one of Atari Corporation's last consoles]
-
A.
impactOnBusiness
Indicates the effect or influence that one factor, event, or action has on a business’s performance, operations, or outcomes.
-
B.
affectedCompany
Indicates that a company is impacted or influenced by a particular event, action, or entity.
-
C.
impactOnIndustry
Indicates the effect or influence that one entity, event, or action has on the state, performance, or development of an industry.
-
D.
impactOnMarket
Indicates the effect or influence that one factor, event, or action has on market conditions, behavior, or outcomes.
-
E.
underlyingCompanyStatus
chosen
Indicates the current operational or legal status of the referenced underlying company in the context of the relationship or transaction.
- 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_69d6aac993a08190a6f36445ebaf9a43 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e989fdac81909a4a75f1f68b55c6 |
completed | April 9, 2026, 6:01 p.m. |
| PD | Predicate disambiguation | batch_69d787a6ca2c8190afdc24b61ccd3f8a |
completed | April 9, 2026, 11:04 a.m. |
Created at: April 8, 2026, 9:32 p.m.