Triple
T7366696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mega Mushroom |
E169886
|
entity |
| Predicate | sizeEffect |
P10324
|
FINISHED |
| Object | makes character extremely large |
—
|
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: makes character extremely large | Statement: [Mega Mushroom, sizeEffect, makes character extremely large]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sizeEffect Context triple: [Mega Mushroom, sizeEffect, makes character extremely large]
-
A.
sizeIncreasedTo
chosen
Indicates that an entity’s size has changed and reached a specified larger value or magnitude.
-
B.
sizeStatus
Indicates the relative size condition or classification of one entity in relation to another or to a defined standard.
-
C.
forceSize
Indicates a relationship where one entity specifies or constrains the magnitude or size of a force associated with another entity.
-
D.
sizeTrend
Indicates how the size of an entity changes over time or relative to another entity (e.g., increasing, decreasing, or remaining stable).
-
E.
sizeDescription
Indicates a relationship where one entity provides descriptive information about the size or scale of 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_69c68a5ade988190885b7175f63b7534 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f26d6d6081909c7272a9ccae0d97 |
completed | March 27, 2026, 9:11 p.m. |
| PD | Predicate disambiguation | batch_69c6f02d36108190bcb34a95e6a30bd7 |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:06 p.m.