Triple
T31430595
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sonic the Hedgehog (film score) |
E801784
|
entity |
| Predicate | hasMainCharacterThemeFor |
P201815
|
FINISHED |
| Object | Sonic the Hedgehog |
—
|
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: Sonic the Hedgehog | Statement: [Sonic the Hedgehog (film score), hasMainCharacterThemeFor, Sonic the Hedgehog]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMainCharacterThemeFor Context triple: [Sonic the Hedgehog (film score), hasMainCharacterThemeFor, Sonic the Hedgehog]
-
A.
hasMainThemeCharacter
Indicates that a work (such as a story, film, or game) features a specific character as its central or primary thematic focus.
-
B.
hasThemeSong
Indicates that an entity is associated with or characterized by a particular theme song.
-
C.
hasHeroicTheme
Indicates that something (such as a work, scene, or motif) embodies or prominently features a heroic theme or quality.
-
D.
hasMainTitleSequenceMusicBy
Indicates that a work’s main title sequence music is composed or performed by a specified person or entity.
-
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. chosen
Provenance (4 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_69f348c475348190bf579ca858eec77c |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_6a00262d71488190a769783fb09e5803 |
completed | May 10, 2026, 6:31 a.m. |
| PD | Predicate disambiguation | batch_6a0023985f148190a335a3fb93e9981e |
completed | May 10, 2026, 6:20 a.m. |
| PDg | Predicate description generation | batch_6a00262cc9408190b95076a2d3da057d |
completed | May 10, 2026, 6:31 a.m. |
Created at: April 30, 2026, 8:57 p.m.