Triple
T26558756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Star vs. the Forces of Evil Theme Song |
E666182
|
entity |
| Predicate | appearsInOpeningSequenceStyle |
P78700
|
FINISHED |
| Object | colorful |
—
|
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: colorful | Statement: [Star vs. the Forces of Evil Theme Song, appearsInOpeningSequenceStyle, colorful]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appearsInOpeningSequenceStyle Context triple: [Star vs. the Forces of Evil Theme Song, appearsInOpeningSequenceStyle, colorful]
-
A.
usedInSeasonOpeningCreditsOf
Indicates that something (such as an image, clip, or element) appears in and is utilized as part of the opening credits sequence of a particular season of a show.
-
B.
openingSequenceType
chosen
Indicates the specific kind or category of an opening sequence associated with an entity or event.
-
C.
openingSequence
Indicates the initial ordered set of actions or events that begin a process, performance, or interaction.
-
D.
appearsInContinuity
Indicates that an entity is part of, or occurs within, a specific narrative continuity or canon timeline.
-
E.
openingSequenceFormat
Indicates the specific structural or stylistic format used for an opening sequence in a work 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_69ee9cf7e94481909f0d556b36e43572 |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f676c440708190a4b9974e95d2291a |
completed | May 2, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69f675fd59608190b246383435e68fce |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 27, 2026, 1:51 a.m.