Triple
T27664108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nexus 9 |
E697188
|
entity |
| Predicate | speakerTechnology |
P3514
|
FINISHED |
| Object | HTC BoomSound |
—
|
NE NERFINISHED |
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: HTC BoomSound | Statement: [Nexus 9, speakerTechnology, HTC BoomSound]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: speakerTechnology Context triple: [Nexus 9, speakerTechnology, HTC BoomSound]
-
A.
speakerConfiguration
Indicates how speakers are arranged or assigned within an audio or communication setup.
-
B.
soundReproductionMethod
chosen
Indicates the method or technique used to reproduce or play back sound.
-
C.
speakers
Indicates that one or more entities produce spoken language or vocal communication, typically addressing an audience or participating in a conversation.
-
D.
speakerType
Indicates the role or category of a participant in a communicative act (e.g., narrator, quoted speaker, system voice) within a given context.
-
E.
hasSpeakerType
Indicates that an entity functions in a particular role or category as a speaker (e.g., narrator, character, announcer) within a given context.
- 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_69ef590b85a4819083ec7c12bd3c9c10 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f634a28ab081908e57cd7e6a15703a |
completed | May 2, 2026, 5:30 p.m. |
| PD | Predicate disambiguation | batch_69f62c1a92648190835a2c5250d8c758 |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 27, 2026, 2:37 p.m.