Triple
T33703151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vanessa Doofenshmirtz |
E863511
|
entity |
| Predicate | themeSongAppearance |
P7259
|
FINISHED |
| Object | Phineas and Ferb theme sequence |
—
|
NE NERFINISHED |
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: Phineas and Ferb theme sequence | Statement: [Vanessa Doofenshmirtz, themeSongAppearance, Phineas and Ferb theme sequence]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: themeSongAppearance Context triple: [Vanessa Doofenshmirtz, themeSongAppearance, Phineas and Ferb theme sequence]
-
A.
associatedWithSongTheme
Indicates a relationship where something is linked or connected to the thematic content or subject matter of a song.
-
B.
hasThemeSong
chosen
Indicates that an entity is associated with or characterized by a particular theme song.
-
C.
appearsInSongBy
Indicates that an entity is mentioned, referenced, or featured within a song created or performed by a specified artist or musical act.
-
D.
albumTheme
Indicates that one entity is the central subject, concept, or motif that thematically unifies the other entity, which is an album.
-
E.
lyricsOfThemeSongBy
Indicates that one entity is the creator or performer of the theme song whose lyrics are associated with another entity.
- 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_69f3498844608190bb8f9b14908d2510 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6ffbad8848190867c2988c0ceb84f |
completed | May 3, 2026, 7:56 a.m. |
| PD | Predicate disambiguation | batch_69f6fc5740fc81909774a4f65201a3ff |
completed | May 3, 2026, 7:42 a.m. |
Created at: May 1, 2026, 1:43 a.m.