Triple
T31129149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glacier Lynx |
E793447
|
entity |
| Predicate | partOfMascotSetWith |
P89157
|
FINISHED |
| Object | Powder the Hare |
—
|
NE NERFINISHED |
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: Powder the Hare | Statement: [Glacier Lynx, partOfMascotSetWith, Powder the Hare]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfMascotSetWith Context triple: [Glacier Lynx, partOfMascotSetWith, Powder the Hare]
-
A.
partOfMascotDuo
Indicates that an entity is one member of a paired mascot team that functions together as a duo.
-
B.
partOfMascotTrioWith
chosen
Indicates that an entity is one member of a three-character mascot group that collectively functions as a unified set.
-
C.
partOfMascotLineage
Indicates that one mascot is historically or genealogically derived from, or a successor in the lineage of, another mascot.
-
D.
isMascotCounterpartOf
Indicates that one entity serves as the mascot equivalent or counterpart of another entity, typically representing the same thing in a mascot form.
-
E.
hasMascot
Indicates that an entity is represented or symbolized by a particular mascot.
- 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_69f224d1701c819094f429798290e361 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69ff397e19a88190a945b826159f5290 |
completed | May 9, 2026, 1:41 p.m. |
| PD | Predicate disambiguation | batch_69ff392400d0819088d30d08d4a774bd |
completed | May 9, 2026, 1:39 p.m. |
Created at: April 29, 2026, 9:05 p.m.