Triple
T31001252
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wyatt |
E789943
|
entity |
| Predicate | toneOfWorkContext |
P157104
|
FINISHED |
| Object | parody |
—
|
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: parody | Statement: [Wyatt, toneOfWorkContext, parody]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: toneOfWorkContext Context triple: [Wyatt, toneOfWorkContext, parody]
-
A.
toneOfWorkAppearedIn
Indicates the characteristic tone or mood conveyed in the work in which the entity appeared.
-
B.
tone
Indicates the characteristic attitude or emotional quality expressed in how something is communicated or presented.
-
C.
toneCategory
Indicates the tonal classification or type assigned to an entity, such as its pitch pattern, mood, or prosodic category.
-
D.
contextOfComposition
Indicates the situational, cultural, or environmental circumstances in which a composition or work was created.
-
E.
toneWithinFiction
chosen
Indicates the overall emotional or stylistic attitude conveyed inside a fictional work, as expressed through its narrative voice, style, or atmosphere.
- 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_69f224c65a348190baaed1c01a29900c |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6953bafb88190a860e9c68a3dd4b2 |
completed | May 3, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69f690ef92308190903a54fc74233269 |
completed | May 3, 2026, 12:03 a.m. |
Created at: April 29, 2026, 8:56 p.m.