Triple
T9616159
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dreamfinder |
E232223
|
entity |
| Predicate | hasCatchphraseTheme |
P53722
|
FINISHED |
| Object | celebration of imagination |
—
|
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: celebration of imagination | Statement: [Dreamfinder, hasCatchphraseTheme, celebration of imagination]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCatchphraseTheme Context triple: [Dreamfinder, hasCatchphraseTheme, celebration of imagination]
-
A.
characterCatchphrase
Indicates that a particular phrase is commonly and distinctively used by a character as their catchphrase.
-
B.
featuresCatchphrase
chosen
Indicates that an entity prominently includes or is associated with a particular catchphrase.
-
C.
openingCatchphrase
Indicates that one entity is a characteristic phrase or line regularly used by another entity at the beginning of a recurring performance, appearance, or communication.
-
D.
hasNicknameTheme
Indicates that an entity’s nickname is based on or associated with a particular theme or motif.
-
E.
hasMainThemeCharacter
Indicates that a work (such as a story, film, or game) features a specific character as its central or primary thematic focus.
- 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_69ca84867bb88190b4b57dd5a56d5691 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9aad71a0819084ea00c2409e9922 |
completed | April 1, 2026, 10:22 p.m. |
| PD | Predicate disambiguation | batch_69ccd5aa1d2c8190a287bf1cf4a3037e |
completed | April 1, 2026, 8:22 a.m. |
Created at: March 30, 2026, 8:09 p.m.