Triple
T15534974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mini Mushroom |
E370316
|
entity |
| Predicate | hasSizeEffect |
P100664
|
FINISHED |
| Object | Makes the player the smallest possible size in the game |
—
|
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 the player the smallest possible size in the game | Statement: [Mini Mushroom, hasSizeEffect, Makes the player the smallest possible size in the game]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSizeEffect Context triple: [Mini Mushroom, hasSizeEffect, Makes the player the smallest possible size in the game]
-
A.
hasSize
Indicates that one entity possesses a particular physical magnitude or extent, such as length, volume, or overall dimensions.
-
B.
hasRelativeSize
Indicates that one entity’s size is being compared to another entity’s size, expressing a relative rather than absolute magnitude.
-
C.
hasNetworkSize
Indicates the total number of nodes, members, or connections that make up a given network.
-
D.
hasTypicalMemberSize
Indicates the usual or characteristic size associated with members of a given class or group.
-
E.
setSize
chosen
Indicates assigning or changing the size or dimensions of an 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_69d85cc521a08190921fb50319dddc34 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e0442e327c8190b4b879c8a3cd38e3 |
completed | April 16, 2026, 2:06 a.m. |
| PD | Predicate disambiguation | batch_69deda7a95c48190bbe29fadcf17191a |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:06 a.m.