Triple
T19661338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baird television camera |
E472087
|
entity |
| Predicate | signalOutput |
P40631
|
FINISHED |
| Object | electrical video signal |
—
|
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: electrical video signal | Statement: [Baird television camera, signalOutput, electrical video signal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: signalOutput Context triple: [Baird television camera, signalOutput, electrical video signal]
-
A.
signalType
Indicates the specific kind or category of signal associated with or used by an entity or interaction.
-
B.
signalOfResult
Indicates that one entity functions as a signal, marker, or indicator that a particular result, outcome, or state has occurred or will occur.
-
C.
signalProperty
Indicates that one entity has a specific characteristic, attribute, or feature related to a signal.
-
D.
signalVoltage
Indicates the electrical potential level carried by a signal in a circuit or communication channel.
-
E.
signalOrigin
chosen
Indicates that one entity is the source or starting point from which a signal is generated or transmitted to others.
- 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_69d8e51395348190ac1416d46dfc6db0 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e6414a667c81909aad04a737773c7e |
completed | April 20, 2026, 3:07 p.m. |
| PD | Predicate disambiguation | batch_69e514e941008190898d978d7bde91e4 |
completed | April 19, 2026, 5:46 p.m. |
Created at: April 10, 2026, 1:45 p.m.