Triple
T97951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vitaphone |
E1974
|
entity |
| Predicate | soundCarrier |
P3510
|
FINISHED |
| Object | phonograph disc |
—
|
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: phonograph disc | Statement: [Vitaphone, soundCarrier, phonograph disc]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: soundCarrier Context triple: [Vitaphone, soundCarrier, phonograph disc]
-
A.
carriedBy
Indicates that one entity is physically supported and transported by another entity.
-
B.
usesInstrument
Indicates that an agent performs an action by employing a specific instrument or tool as the means to carry it out.
-
C.
instrument
Indicates that an action is carried out using a particular tool, means, or implement as its instrument.
-
D.
callsign
Indicates that an entity is assigned or uses a specific radio or identification callsign as its designated identifier in communication contexts.
-
E.
seal
Indicates that an agent closes or fastens something so that it is securely shut and often airtight or watertight.
- 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_69a24d4862f881908cc8b89d3a78031d |
completed | Feb. 28, 2026, 2:04 a.m. |
| NER | Named-entity recognition | batch_69a24feef1b08190bb9525f71cce053e |
completed | Feb. 28, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69a24ebe7b1c8190a6bfbf31dc7c7f07 |
completed | Feb. 28, 2026, 2:11 a.m. |
| PDg | Predicate description generation | batch_69a24f4b4658819087902414959161fb |
completed | Feb. 28, 2026, 2:13 a.m. |
Created at: Feb. 28, 2026, 2:09 a.m.