Triple
T37541030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yogg-Saron, Master of Fate |
E933324
|
entity |
| Predicate | cardTextTheme |
P114955
|
FINISHED |
| Object | fate manipulation |
—
|
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: fate manipulation | Statement: [Yogg-Saron, Master of Fate, cardTextTheme, fate manipulation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cardTextTheme Context triple: [Yogg-Saron, Master of Fate, cardTextTheme, fate manipulation]
-
A.
cardTheme
chosen
Indicates the thematic style or visual motif associated with a card in relation to its content or context.
-
B.
cardColor
Indicates the color attribute assigned to a card in the relationship.
-
C.
cardTextType
Indicates the type or category of textual content associated with a card (e.g., title, body text, caption, or label).
-
D.
cardText
Indicates that one entity is the textual content displayed on a card associated with another entity.
-
E.
textureTheme
Indicates a characteristic surface quality or pattern that defines the overall tactile or visual feel associated with something.
- 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_69fcef654d588190b29ecc76678d1aa0 |
completed | May 7, 2026, 8 p.m. |
| PD | Predicate disambiguation | batch_69fcecdb97f48190b382b7d13be92dc0 |
completed | May 7, 2026, 7:49 p.m. |
Created at: May 3, 2026, 4:17 p.m.