Triple
T634376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NTSC color television standard |
E15990
|
entity |
| Predicate | audioModulation |
P17349
|
FINISHED |
| Object | frequency modulation |
—
|
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: frequency modulation | Statement: [NTSC color television standard, audioModulation, frequency modulation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: audioModulation Context triple: [NTSC color television standard, audioModulation, frequency modulation]
-
A.
soundCarrier
Indicates that one entity serves as a medium or object that carries, stores, or transmits sound for another entity.
-
B.
acousticProperty
Indicates the relationship between an entity and its sound-related characteristics, such as loudness, pitch, timbre, or other acoustic features.
-
C.
soundReproductionMethod
Indicates the method or technique used to reproduce or play back sound.
-
D.
soundCharacter
Indicates a relationship where one entity specifies the quality, style, or distinguishing characteristics of a sound produced or perceived in another entity.
-
E.
musicDriven
Indicates that one entity’s behavior, structure, or progression is guided, influenced, or determined primarily by music or musical elements.
- 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_69a4935c131c8190a5378c6bf101e8cc |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49ee4ee8481908ad45405e3f3835c |
completed | March 1, 2026, 8:17 p.m. |
| PD | Predicate disambiguation | batch_69a49d0483908190a5ec42a7403c258e |
completed | March 1, 2026, 8:09 p.m. |
| PDg | Predicate description generation | batch_69a49defe58c8190bd39ef47c9f660a7 |
completed | March 1, 2026, 8:13 p.m. |
Created at: March 1, 2026, 7:35 p.m.