Triple
T31169311
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morning Bell/Amnesiac |
E794559
|
entity |
| Predicate | moodComparedToMorningBell |
P85805
|
FINISHED |
| Object | more subdued |
—
|
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: more subdued | Statement: [Morning Bell/Amnesiac, moodComparedToMorningBell, more subdued]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: moodComparedToMorningBell Context triple: [Morning Bell/Amnesiac, moodComparedToMorningBell, more subdued]
-
A.
openingMood
Indicates the emotional tone or atmosphere present at the beginning of an event, interaction, or narrative.
-
B.
hasMood
Indicates that an entity is experiencing or characterized by a particular emotional or affective state.
-
C.
moodContrastWithinWork
chosen
Indicates a contrast or shift between different moods or emotional tones within the same work.
-
D.
moodShiftFromPreviousChapter
Indicates a change in emotional tone or atmosphere compared to the immediately preceding chapter.
-
E.
associatedTimeOfDay
Indicates the specific time of day during which an event, state, or relationship occurs or is most relevant.
- 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_69f224d5b9708190b6ca79ad2fd3a28a |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69c234d648190a243fb2b107136a9 |
completed | May 3, 2026, 12:51 a.m. |
| PD | Predicate disambiguation | batch_69f69665cd9c819088c388fc82fec42e |
completed | May 3, 2026, 12:27 a.m. |
Created at: April 29, 2026, 9:07 p.m.