Triple
T36409693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Video Home System |
E896842
|
entity |
| Predicate | cassetteType |
P85611
|
FINISHED |
| Object | VHS cassette |
—
|
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: VHS cassette | Statement: [Video Home System, cassetteType, VHS cassette]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cassetteType Context triple: [Video Home System, cassetteType, VHS cassette]
-
A.
cassetteTypeSupported
chosen
Indicates that a given system, device, or component is compatible with and can operate using a specified cassette type.
-
B.
cassetteWidth
Indicates the measurement of how wide a cassette is along its horizontal dimension.
-
C.
hasIntegratedCassetteDeck
Indicates that one object includes a built-in cassette deck as part of its overall unit or structure.
-
D.
cassetteHeight
Indicates the vertical dimension or elevation associated with a cassette relative to a reference point or system.
-
E.
phonographicType
Indicates the specific kind or category of phonographic recording or medium associated with an 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_69f76e54ce408190849acc3f7758937c |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7be9d07ac8190adf796cbef60daf6 |
completed | May 3, 2026, 9:31 p.m. |
| PD | Predicate disambiguation | batch_69f7bcccd7988190aa5c931ff347d33c |
completed | May 3, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:10 p.m.