Triple
T5136252
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Troublemaker |
E115827
|
entity |
| Predicate | cardCategory |
P5430
|
FINISHED |
| Object | special action card |
—
|
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: special action card | Statement: [Troublemaker, cardCategory, special action card]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cardCategory Context triple: [Troublemaker, cardCategory, special action card]
-
A.
cardType
chosen
Indicates the classification or category assigned to a card within a given system or context.
-
B.
cardGameAssociatedWith
Indicates that there is a relationship of association between a card game and another entity, such as a person, place, event, or concept.
-
C.
cardNetworkRank
Indicates the relative position or ranking of a payment card network compared to other card networks, typically based on metrics such as usage, market share, or performance.
-
D.
includesCreditCategory
Indicates that one entity contains or encompasses a specific credit-related category within its defined set or structure.
-
E.
stripePattern
Indicates that one entity has a stripe-based visual pattern or design in relation to another entity or context.
- 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_69bd44459a988190a772a5c2ec6a1965 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7fef2e8c8190982dd67f50295ada |
completed | March 20, 2026, 5:12 p.m. |
| PD | Predicate disambiguation | batch_69bd77ac2fc48190abeebb003a82384c |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:43 p.m.