Triple
T35386527
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boomerang Flower-powered Mario |
E1022805
|
entity |
| Predicate | canLoseFormBy |
P118329
|
FINISHED |
| Object | taking damage |
—
|
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: taking damage | Statement: [Boomerang Flower-powered Mario, canLoseFormBy, taking damage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canLoseFormBy Context triple: [Boomerang Flower-powered Mario, canLoseFormBy, taking damage]
-
A.
canBeLostBy
Indicates that something is capable of being lost or forfeited by a particular entity.
-
B.
canTakeForm
Indicates that one entity is capable of assuming, transforming into, or being represented as the form or appearance of another entity.
-
C.
losesFormWhen
chosen
Indicates that one entity ceases to retain its original form, structure, or shape when a specified condition, event, or interaction with another entity occurs.
-
D.
canReform
Indicates that an entity has the ability or potential to change, improve, or be corrected from a previous state, behavior, or condition.
-
E.
cannotForm
Indicates that one entity is unable or not permitted to establish, create, or constitute a specified relationship, structure, or configuration with another entity.
- 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_69f76df34ba48190bd80f0814cdcd540 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f794f649648190a79d90e6e67fe2dc |
completed | May 3, 2026, 6:33 p.m. |
| PD | Predicate disambiguation | batch_69f7910770108190bdd39ddb5d304f54 |
completed | May 3, 2026, 6:16 p.m. |
Created at: May 3, 2026, 4:03 p.m.