Triple
T37458679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. Boom |
E930862
|
entity |
| Predicate | cardTextContains |
P6841
|
FINISHED |
| Object | Battlecry: Summon two 1/1 Boom Bots. WARNING: Bots may explode. |
—
|
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: Battlecry: Summon two 1/1 Boom Bots. WARNING: Bots may explode. | Statement: [Dr. Boom, cardTextContains, Battlecry: Summon two 1/1 Boom Bots. WARNING: Bots may explode.]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cardTextContains Context triple: [Dr. Boom, cardTextContains, Battlecry: Summon two 1/1 Boom Bots. WARNING: Bots may explode.]
-
A.
containsCard
Indicates that one entity includes or holds a specific card as part of its contents or collection.
-
B.
cardText
Indicates that one entity is the textual content displayed on a card associated with another entity.
-
C.
typicallyContain
Indicates that one entity is normally or commonly found within, included in, or held by another entity under usual circumstances.
-
D.
containsText
chosen
Indicates that one entity includes the specified text string within its content.
-
E.
legalCardsFrom
Indicates that the referenced cards are permitted or valid according to the rules or constraints defined by the specified source or authority.
- 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_69fba68077788190b311e027435fcf87 |
completed | May 6, 2026, 8:37 p.m. |
| PD | Predicate disambiguation | batch_69fba34c65ac8190b298f0f00d1dcc0e |
completed | May 6, 2026, 8:23 p.m. |
Created at: May 3, 2026, 4:17 p.m.