Triple
T12481730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brent |
E298322
|
entity |
| Predicate | phoneticTranscriptionIPA |
P5704
|
FINISHED |
| Object | /brɛnt/ |
—
|
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: /brɛnt/ | Statement: [Brent, phoneticTranscriptionIPA, /brɛnt/]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: phoneticTranscriptionIPA Context triple: [Brent, phoneticTranscriptionIPA, /brɛnt/]
-
A.
hasIPA
chosen
Indicates that an entity is associated with a specific International Phonetic Alphabet (IPA) transcription representing its pronunciation.
-
B.
transcribesPhonologyOf
Indicates that one entity converts or represents the phonological aspects of another entity into a written, symbolic, or otherwise encoded form.
-
C.
isPhonetic
Indicates that one entity represents the phonetic (sound-based) form or pronunciation of another entity.
-
D.
phoneticValue
Indicates a relationship where a symbol, sign, or written element is associated with the specific sound or sequence of sounds it represents.
-
E.
phoneticProcess
Indicates a relationship where one sound or sequence of sounds undergoes a systematic phonetic change or transformation in a particular linguistic 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_69d6ada377208190a36011199a4d8558 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94e8a706c8190873623eab7db607d |
completed | April 10, 2026, 7:24 p.m. |
| PD | Predicate disambiguation | batch_69d94d41f3cc8190a3331fb9a895306f |
completed | April 10, 2026, 7:19 p.m. |
Created at: April 8, 2026, 9:56 p.m.