Triple
T10140166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alicia Johns |
E226959
|
entity |
| Predicate | hasSpeechStyle |
P65429
|
FINISHED |
| Object | sarcastic |
—
|
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: sarcastic | Statement: [Alicia Johns, hasSpeechStyle, sarcastic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSpeechStyle Context triple: [Alicia Johns, hasSpeechStyle, sarcastic]
-
A.
isSpoken
Indicates that a language or utterance is produced orally by a speaker or used in spoken form within a given context.
-
B.
hasVocalStyleComparedTo
Indicates a comparison between entities based on the similarity or resemblance of their vocal style.
-
C.
hasSpeechFluency
Indicates that an entity exhibits a certain level or quality of smoothness, coherence, and ease in spoken language production.
-
D.
speechType
Indicates the specific category or form of spoken or written communication that an utterance or speech act belongs to (e.g., question, statement, command).
-
E.
hasDramaticStyle
chosen
Indicates that an entity employs or is characterized by a theatrical, emotionally intense, or striking manner of expression or presentation.
- 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_69ca8433ec308190b8b25a6fe359c34c |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cdeb2425008190a92c5148ed703d5c |
completed | April 2, 2026, 4:05 a.m. |
| PD | Predicate disambiguation | batch_69cd4ba4f5d88190ba68e63be10b08c7 |
completed | April 1, 2026, 4:45 p.m. |
Created at: March 30, 2026, 9:07 p.m.