Triple
T32067973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Child Detection Agency |
E818934
|
entity |
| Predicate | toneFunctionInStory |
P157104
|
FINISHED |
| Object | comic relief |
—
|
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: comic relief | Statement: [Child Detection Agency, toneFunctionInStory, comic relief]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: toneFunctionInStory Context triple: [Child Detection Agency, toneFunctionInStory, comic relief]
-
A.
toneInSeries
Indicates the tonal quality or mood that characterizes a particular work within a series or the series as a whole.
-
B.
toneWithinFiction
chosen
Indicates the overall emotional or stylistic attitude conveyed inside a fictional work, as expressed through its narrative voice, style, or atmosphere.
-
C.
tonePattern
Indicates the characteristic arrangement or sequence of tones associated with an entity, such as in speech, music, or signaling.
-
D.
toneCount
Indicates the number of distinct tones or tonal elements associated with an entity or expression.
-
E.
inTonality
Indicates that something (such as a musical element, passage, or piece) is expressed, structured, or interpreted within a specific musical key or tonal framework.
- 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_69f348fecc088190af1470afe5a969f0 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b52037948190b7928563c1d9b20d |
completed | May 3, 2026, 2:38 a.m. |
| PD | Predicate disambiguation | batch_69f6b154b3dc819087115f5f63f7b00f |
completed | May 3, 2026, 2:22 a.m. |
Created at: May 1, 2026, 12:22 a.m.