Triple
T11113577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LaCie |
E262821
|
entity |
| Predicate | notableProductLine |
P3585
|
FINISHED |
| Object | LaCie 5big |
E262821
|
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: LaCie 5big | Statement: [LaCie, notableProductLine, LaCie 5big]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LaCie 5big Context triple: [LaCie, notableProductLine, LaCie 5big]
-
A.
LaCie
chosen
LaCie is a premium computer storage hardware brand known for its stylish, design-focused external drives and professional storage solutions.
-
B.
Lexar
Lexar is a brand known for producing flash memory products such as USB drives, memory cards, and solid-state drives.
-
C.
Maxtor Tower
Maxtor Tower is a historic defensive tower that forms part of the medieval fortifications of Nuremberg, Germany.
-
D.
Travelstar
Travelstar is a line of hard disk drives, originally developed by IBM and later Hitachi, designed primarily for use in mobile and portable computing devices.
-
E.
Box Drive
Box Drive is a desktop application that lets users access, sync, and manage their Box cloud content directly from their computer’s file system.
- 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_69e496a593c4819090d295119ce50e48 |
completed | April 19, 2026, 8:47 a.m. |
Created at: April 8, 2026, 9:27 p.m.