Triple
T28672139
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chew Chew |
E725752
|
entity |
| Predicate | hasCoMascotRoleWith |
P201213
|
FINISHED |
| Object | Chompers brand |
—
|
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: Chompers brand | Statement: [Chew Chew, hasCoMascotRoleWith, Chompers brand]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCoMascotRoleWith Context triple: [Chew Chew, hasCoMascotRoleWith, Chompers brand]
-
A.
hasMascotIdentity
Indicates that an entity serves as or possesses the role/identity of a mascot for another entity.
-
B.
hasMascot
Indicates that an entity is represented or symbolized by a particular mascot.
-
C.
hasCompanionMascot
Indicates that an entity is accompanied by or associated with a specific mascot serving as its companion.
-
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.
isMascot
Indicates that one entity serves as the mascot or symbolic representative for another entity, such as an organization, team, or event.
- F. None of above. chosen
Provenance (4 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_69f01d85be388190b669a0e401e2f2c4 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69ffdf47d9608190830ca23d9cef6409 |
completed | May 10, 2026, 1:28 a.m. |
| PD | Predicate disambiguation | batch_69ffdf00e2b4819082dd5cb78f316baf |
completed | May 10, 2026, 1:27 a.m. |
| PDg | Predicate description generation | batch_69ffdf46e18c8190a5e4f4e5211cb087 |
completed | May 10, 2026, 1:28 a.m. |
Created at: April 28, 2026, 5:04 a.m.