Triple
T8521087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Texas Instruments SN76489 |
E201693
|
entity |
| Predicate | audioGenerationMethod |
P3514
|
FINISHED |
| Object | tone counters and dividers |
—
|
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: tone counters and dividers | Statement: [Texas Instruments SN76489, audioGenerationMethod, tone counters and dividers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: audioGenerationMethod Context triple: [Texas Instruments SN76489, audioGenerationMethod, tone counters and dividers]
-
A.
vocalizationMethod
Indicates the manner or technique by which an entity produces a sound or vocal expression.
-
B.
givesSpeechTo
Indicates that one entity delivers a speech or formal address directed toward another entity or audience.
-
C.
soundReproductionMethod
chosen
Indicates the method or technique used to reproduce or play back sound.
-
D.
voiceAppearance
Indicates that one entity’s voice is present, heard, or featured in association with another entity (such as a work, scene, or medium).
-
E.
voiceWork
Indicates that one entity performs or contributes voice acting or vocal performance work for another entity or creative production.
- 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_69ca8321bb44819081b74df0b710276d |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe62a490481908ee0ad4ba9a94682 |
completed | March 31, 2026, 3:20 p.m. |
| PD | Predicate disambiguation | batch_69cbd10f64b4819080859057c19e58f0 |
completed | March 31, 2026, 1:50 p.m. |
Created at: March 30, 2026, 6:16 p.m.