Triple
T36409752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Video 2000 |
E896843
|
entity |
| Predicate | cassetteDesign |
P185740
|
FINISHED |
| Object | symmetrical cassette housing |
—
|
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: symmetrical cassette housing | Statement: [Video 2000, cassetteDesign, symmetrical cassette housing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cassetteDesign Context triple: [Video 2000, cassetteDesign, symmetrical cassette housing]
-
A.
cassetteWidth
Indicates the measurement of how wide a cassette is along its horizontal dimension.
-
B.
cassetteHeight
Indicates the vertical dimension or elevation associated with a cassette relative to a reference point or system.
-
C.
hasIntegratedCassetteDeck
Indicates that one object includes a built-in cassette deck as part of its overall unit or structure.
-
D.
cassetteTypeSupported
Indicates that a given system, device, or component is compatible with and can operate using a specified cassette type.
-
E.
supportsCassette
Indicates that one entity is capable of holding, accommodating, or being compatible with a cassette.
- F. None of above. chosen
Provenance (4 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_69f76e54ce408190849acc3f7758937c |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c371931c8190afb1d4dd5157f92c |
completed | May 3, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69f7c1b91fd88190ab85afd626603769 |
completed | May 3, 2026, 9:44 p.m. |
| PDg | Predicate description generation | batch_69f7c3705b5c81908c84004543a71c07 |
completed | May 3, 2026, 9:51 p.m. |
Created at: May 3, 2026, 4:10 p.m.