Triple
T24929717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BlackBerry Tablet OS |
E618950
|
entity |
| Predicate | companyFormerName |
P80361
|
FINISHED |
| Object | Research In Motion |
—
|
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: Research In Motion | Statement: [BlackBerry Tablet OS, companyFormerName, Research In Motion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: companyFormerName Context triple: [BlackBerry Tablet OS, companyFormerName, Research In Motion]
-
A.
underlyingCompanyFormerName
chosen
Indicates that the object is a former or previous legal name by which the underlying company (the subject) was known.
-
B.
formerOrganization
Indicates that an entity was previously affiliated with or employed by a given organization, but is no longer associated with it.
-
C.
majorCompanyFormerlyHeadquartered
Indicates that a company was previously headquartered in a particular location but is no longer based there.
-
D.
associatedCompanyFormerlyIndependent
Indicates that the associated company was once an independent entity before becoming linked to or integrated with another organization.
-
E.
companyRenamedBackTo
Indicates that a company reverted its name from a newer one back to a previous or original name.
- 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_69e2fab9edd88190b86004a78a28bc20 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f47b865df48190bf4b6d3e9f9305e6 |
completed | May 1, 2026, 10:08 a.m. |
| PD | Predicate disambiguation | batch_69f4682c8a3c8190adbfaac99474eaaf |
completed | May 1, 2026, 8:45 a.m. |
Created at: April 18, 2026, 5:29 a.m.