Triple
T11113778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barracuda |
E262828
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object | Seagate Barracuda |
E47767
|
NE 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: Seagate Barracuda | Statement: [Barracuda, brand, Seagate Barracuda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seagate Barracuda Context triple: [Barracuda, brand, Seagate Barracuda]
-
A.
Seagate Technology
chosen
Seagate Technology is a leading American data storage company best known for manufacturing hard disk drives and other storage solutions for consumer and enterprise markets.
-
B.
HGST
HGST is a data storage company and hard drive manufacturer known for its enterprise-class HDDs and SSDs, now operating as a brand under Western Digital.
-
C.
Western Digital
Western Digital is a major American data storage company known for manufacturing hard disk drives, solid-state drives, and related storage solutions for consumers and enterprises.
-
D.
Maxtor
Maxtor was a major American manufacturer of hard disk drives, known for its consumer and enterprise storage products before being acquired by Seagate.
-
E.
Maxtor Tower
Maxtor Tower is a historic defensive tower that forms part of the medieval fortifications of Nuremberg, Germany.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6aa9b46cc8190b19f9f0cc45bf322 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79aa637888190935e852281408356 |
completed | April 9, 2026, 12:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e441cb16bc81908b5321506f655e38 |
completed | April 19, 2026, 2:45 a.m. |
Created at: April 8, 2026, 9:27 p.m.