Triple
T33415605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bonnie Swanson |
E855705
|
entity |
| Predicate | softSpoken |
P176575
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Bonnie Swanson, softSpoken, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: softSpoken Context triple: [Bonnie Swanson, softSpoken, true]
-
A.
silent
Indicates that an entity produces no audible sound or refrains from speaking or making noise.
-
B.
cannotBeEasilySpokenBy
Indicates that one entity (typically a word, phrase, or name) is difficult for another entity (typically a speaker or group) to pronounce or articulate smoothly.
-
C.
isSoft
Indicates that one entity has a soft or yielding texture or consistency when touched or pressed.
-
D.
spokenWord
Indicates that one entity has uttered or articulated a specific word or phrase in spoken form.
-
E.
uttered
Indicates that one entity spoke or vocalized words or sounds, producing an audible expression directed toward another entity or into the environment.
- 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_69f3496f04a08190804e56ac5098b8e4 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6e52a6d40819084472f6072c91e9f |
completed | May 3, 2026, 6:03 a.m. |
| PD | Predicate disambiguation | batch_69f6e3da41948190a4cfe866ce184f73 |
completed | May 3, 2026, 5:57 a.m. |
| PDg | Predicate description generation | batch_69f6e47c13348190a10528c84a401178 |
completed | May 3, 2026, 6 a.m. |
Created at: May 1, 2026, 1:36 a.m.