Triple
T36071455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Esskeetit |
E1043377
|
entity |
| Predicate | pronunciationStyle |
P41680
|
FINISHED |
| Object | exaggerated |
—
|
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: exaggerated | Statement: [Esskeetit, pronunciationStyle, exaggerated]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pronunciationStyle Context triple: [Esskeetit, pronunciationStyle, exaggerated]
-
A.
incorrectPronunciationAs
Indicates that one entity is pronounced incorrectly as if it were another specified entity or form.
-
B.
correctPronunciation
Indicates that one entity provides the accurate or standard way to pronounce another entity (such as a word or name).
-
C.
typeOfPronunciationDescribed
chosen
Indicates that one entity specifies or characterizes the kind or style of pronunciation associated with another entity.
-
D.
pronunciationLanguage
Indicates the language in which the pronunciation of an entity (such as a word or name) is given.
-
E.
spellingStyle
Indicates the particular orthographic convention or system of spelling that is used or preferred in 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_69f76e2fd3248190b900d9a492bf5a7a |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7b2c771108190adeec151daad5dab |
completed | May 3, 2026, 8:40 p.m. |
| PD | Predicate disambiguation | batch_69f7b1bad2e88190963ab4ee5d4f2038 |
completed | May 3, 2026, 8:36 p.m. |
Created at: May 3, 2026, 4:08 p.m.