Triple
T37464466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Twinspell |
E930999
|
entity |
| Predicate | effectDescription |
P196106
|
FINISHED |
| Object | When a Twinspell card is cast, it adds a copy of itself to the player’s hand |
—
|
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: When a Twinspell card is cast, it adds a copy of itself to the player’s hand | Statement: [Twinspell, effectDescription, When a Twinspell card is cast, it adds a copy of itself to the player’s hand]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: effectDescription Context triple: [Twinspell, effectDescription, When a Twinspell card is cast, it adds a copy of itself to the player’s hand]
-
A.
effectCategory
Indicates the general type or classification of an effect that one entity has on another or on a system.
-
B.
effectCount
Indicates the number of distinct effects or outcomes associated with a given action, event, or entity.
-
C.
eventEffect
Indicates the resulting change, outcome, or consequence that one event has on another state, entity, or event.
-
D.
effectTrigger
Indicates that one event, condition, or action initiates or causes another effect to occur.
-
E.
effectOnUser
Indicates how an action, event, or condition influences or impacts a user.
- 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_69fe066d62b48190867df334039be786 |
completed | May 8, 2026, 3:51 p.m. |
| PD | Predicate disambiguation | batch_69fe03afde3c8190a5b9b0778d19eb1a |
completed | May 8, 2026, 3:39 p.m. |
| PDg | Predicate description generation | batch_69fe066b623c819085205fbea901e3cf |
completed | May 8, 2026, 3:51 p.m. |
Created at: May 3, 2026, 4:17 p.m.