Triple
T37462740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vicious Fledgling |
E930958
|
entity |
| Predicate | canGain |
P188361
|
FINISHED |
| Object | +3 Attack (via Adapt) |
—
|
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: +3 Attack (via Adapt) | Statement: [Vicious Fledgling, canGain, +3 Attack (via Adapt)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canGain Context triple: [Vicious Fledgling, canGain, +3 Attack (via Adapt)]
-
A.
canEarnOn
Indicates that an entity is able or permitted to receive or generate earnings from another entity, source, or activity.
-
B.
canElect
Indicates that one entity has the authority or ability to choose another entity for a position, role, or office through an election process.
-
C.
canGive
Indicates that one entity has the ability or permission to transfer something to another entity.
-
D.
canOwn
Indicates that one entity is permitted or legally able to possess or hold ownership rights over another entity.
-
E.
canMake
Indicates that one entity has the ability or capacity to create, produce, or assemble another entity.
- 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_69fba68077788190b311e027435fcf87 |
completed | May 6, 2026, 8:37 p.m. |
| PD | Predicate disambiguation | batch_69fba34c65ac8190b298f0f00d1dcc0e |
completed | May 6, 2026, 8:23 p.m. |
| PDg | Predicate description generation | batch_69fba67f78348190ab160988e4698394 |
completed | May 6, 2026, 8:37 p.m. |
Created at: May 3, 2026, 4:17 p.m.