Triple
T37463664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dragoncaller Alanna |
E930980
|
entity |
| Predicate | cardRarityColor |
P188678
|
FINISHED |
| Object | Orange |
—
|
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: Orange | Statement: [Dragoncaller Alanna, cardRarityColor, Orange]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cardRarityColor Context triple: [Dragoncaller Alanna, cardRarityColor, Orange]
-
A.
cardColor
Indicates the color attribute assigned to a card in the relationship.
-
B.
hasColorIdentity
Indicates that an entity possesses or is associated with a specific color-based characteristic or classification.
-
C.
physicalCardColor
Indicates the relationship between a physical card and the color that characterizes its appearance.
-
D.
includesRarities
Indicates that one entity contains or encompasses specific rare or uncommon items, features, or elements associated with another entity.
-
E.
cardRace
Indicates that one entity participates in or is associated with a competitive race involving cards or card-based vehicles relative to 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_69f76ec1a1148190b0a961f188d621b0 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbacaf54648190811ea33b34907e8e |
completed | May 6, 2026, 9:03 p.m. |
| PD | Predicate disambiguation | batch_69fba883f770819091059c6f6c6af9f7 |
completed | May 6, 2026, 8:45 p.m. |
| PDg | Predicate description generation | batch_69fbacaea12c8190a4c99e64335f0e7e |
completed | May 6, 2026, 9:03 p.m. |
Created at: May 3, 2026, 4:17 p.m.