Triple
T37458685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. Boom |
E930862
|
entity |
| Predicate | inspiredOtherCard |
P26012
|
FINISHED |
| Object | Dr. Boom, Mad Genius |
—
|
NE NERFINISHED |
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: Dr. Boom, Mad Genius | Statement: [Dr. Boom, inspiredOtherCard, Dr. Boom, Mad Genius]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inspiredOtherCard Context triple: [Dr. Boom, inspiredOtherCard, Dr. Boom, Mad Genius]
-
A.
inspiredOtherPattern
Indicates that one pattern served as a source of inspiration or influence for the development or design of another pattern.
-
B.
inspiredOtherFlags
chosen
Indicates that one entity’s actions, ideas, or characteristics served as a motivating example or catalyst for another entity’s notable attributes or behaviors.
-
C.
cardEffect
Indicates that one card produces a specific effect or outcome on another entity or the game state.
-
D.
inspiredVariations
Indicates that one entity consists of versions, adaptations, or reinterpretations that were creatively influenced by another entity.
-
E.
usesCard
Indicates that an entity employs or relies on a specific card (e.g., payment, access, or identification card) to perform an action or participate in an interaction.
- 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_69f76ec1a1148190b0a961f188d621b0 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fd8ccbd4c88190b13aae0673b3c821 |
completed | May 8, 2026, 7:12 a.m. |
| PD | Predicate disambiguation | batch_69fd8ae2227c819089546f5c3629799e |
completed | May 8, 2026, 7:04 a.m. |
Created at: May 3, 2026, 4:17 p.m.