Triple
T37541115
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Legend of Spyro: The Eternal Night |
E933326
|
entity |
| Predicate | protagonistColor |
P57053
|
FINISHED |
| Object | purple |
—
|
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: purple | Statement: [The Legend of Spyro: The Eternal Night, protagonistColor, purple]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: protagonistColor Context triple: [The Legend of Spyro: The Eternal Night, protagonistColor, purple]
-
A.
protagonistHairColor
Indicates the hair color attribute associated with a story’s protagonist.
-
B.
protagonistSkinTone
Indicates that a character serves as the main protagonist and specifies the color or shade of their skin.
-
C.
leadCharacterColor
chosen
Indicates that one entity is the primary character and the other specifies the color associated with that lead character.
-
D.
protagonistIs
Indicates that one entity serves as the main character or central figure in relation to another entity or narrative context.
-
E.
protagonistType
Indicates the role or category that the main character (protagonist) of a story or scenario belongs to.
- 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_69f76ec999288190ae26ec7b6aea7046 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fba5eec0448190a5e6f0c43fdcd0e3 |
completed | May 6, 2026, 8:34 p.m. |
| PD | Predicate disambiguation | batch_69fba34edd548190bfa980e6e16e0a88 |
completed | May 6, 2026, 8:23 p.m. |
Created at: May 3, 2026, 4:17 p.m.