Triple
T5379841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Compaq Presario |
E113053
|
entity |
| Predicate | brandStatusAfterHPMerger |
P1501
|
FINISHED |
| Object | entry-level consumer brand |
—
|
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: entry-level consumer brand | Statement: [Compaq Presario, brandStatusAfterHPMerger, entry-level consumer brand]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: brandStatusAfterHPMerger Context triple: [Compaq Presario, brandStatusAfterHPMerger, entry-level consumer brand]
-
A.
brandRevivedBy
Indicates that a previously inactive, discontinued, or defunct brand has been brought back into use or reintroduced by a specific agent or entity.
-
B.
formerBrand
chosen
Indicates that an entity was previously used or recognized as a brand for another entity but is no longer its current brand.
-
C.
parentCompanyAfterMerger
Indicates that one company is the resulting parent company of another following a merger.
-
D.
hasBrandName
Indicates that an entity is associated with or identified by a specific brand name.
-
E.
introducedAsBrandBy
Indicates that one entity was presented or launched to the public or a market as a brand by another entity.
- 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_69bd4436a1988190af18dcff7fd306b4 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd88801b188190b9ac35ed89167fa3 |
completed | March 20, 2026, 5:48 p.m. |
| PD | Predicate disambiguation | batch_69bd846172788190969f24bc7503c05e |
completed | March 20, 2026, 5:31 p.m. |
Created at: March 20, 2026, 2:03 p.m.