Triple
T37539362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Antonidas |
E933285
|
entity |
| Predicate | cardEffect |
P188710
|
FINISHED |
| Object | Generates Fireball spells when the player casts spells |
—
|
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: Generates Fireball spells when the player casts spells | Statement: [Antonidas, cardEffect, Generates Fireball spells when the player casts spells]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cardEffect Context triple: [Antonidas, cardEffect, Generates Fireball spells when the player casts spells]
-
A.
cardEffectTarget
Indicates that a particular effect of a card is directed toward or applied to a specified target.
-
B.
cardText
Indicates that one entity is the textual content displayed on a card associated with another entity.
-
C.
cardExample
Indicates that something is an illustrative or sample instance of a card (such as a prototype, demo, or example card) rather than a primary or production card.
-
D.
cardSet
Indicates that an item belongs to, or is grouped within, a particular set or collection of cards.
-
E.
cardVariant
Indicates that one card is a specific version or variation of another base card.
- 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_69f76ec999288190ae26ec7b6aea7046 |
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.