Triple
T32373618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charlie Kohler |
E827213
|
entity |
| Predicate | toneOfStoryAround |
P7344
|
FINISHED |
| Object | melancholic |
—
|
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: melancholic | Statement: [Charlie Kohler, toneOfStoryAround, melancholic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: toneOfStoryAround Context triple: [Charlie Kohler, toneOfStoryAround, melancholic]
-
A.
toneWithinFiction
Indicates the overall emotional or stylistic attitude conveyed inside a fictional work, as expressed through its narrative voice, style, or atmosphere.
-
B.
tone
chosen
Indicates the characteristic attitude or emotional quality expressed in how something is communicated or presented.
-
C.
toneInSeries
Indicates the tonal quality or mood that characterizes a particular work within a series or the series as a whole.
-
D.
toneCategory
Indicates the tonal classification or type assigned to an entity, such as its pitch pattern, mood, or prosodic category.
-
E.
toneOfCharacterArc
Indicates the overall emotional or thematic quality that characterizes how a character’s arc unfolds over the course of a story.
- 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_69f349177ddc8190ab0583f05597056b |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c12ca0708190ad7ebbc584ca36c7 |
completed | May 3, 2026, 3:29 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6eb32c8190bf405b2011fa48f7 |
completed | May 3, 2026, 3:01 a.m. |
Created at: May 1, 2026, 12:50 a.m.