Triple
T30346664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kyubey |
E771884
|
entity |
| Predicate | offersWishInExchangeFor |
P81187
|
FINISHED |
| Object | becoming a magical girl |
—
|
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: becoming a magical girl | Statement: [Kyubey, offersWishInExchangeFor, becoming a magical girl]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offersWishInExchangeFor Context triple: [Kyubey, offersWishInExchangeFor, becoming a magical girl]
-
A.
offersRewardFor
chosen
Indicates that one entity promises or provides a reward in exchange for another entity performing a specified action or achieving a particular outcome.
-
B.
exchangedFor
Indicates that one entity has been traded or substituted in return for another entity.
-
C.
offeredRewardTo
Indicates that one entity has proposed or promised a reward to another entity, typically as an incentive for a specific action or outcome.
-
D.
offersExchangeOpportunities
Indicates that one entity provides chances for another entity to participate in exchanges, such as trading, swapping, or reciprocal programs.
-
E.
bargainsFor
Indicates that one entity negotiates or seeks to obtain another entity, typically aiming for more favorable terms or conditions.
- 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_69f2248b9a208190bc3e6804acd5afd6 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fce28d6c3081908bf76f5db63ecf68 |
completed | May 7, 2026, 7:05 p.m. |
| PD | Predicate disambiguation | batch_69fce12d2f08819082134b5eb3db6a24 |
completed | May 7, 2026, 6:59 p.m. |
Created at: April 29, 2026, 7:56 p.m.