Triple
T4930490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gateway, Inc. |
E110681
|
entity |
| Predicate | marketingMascot |
P33791
|
FINISHED |
| Object | Holstein cow imagery |
—
|
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: Holstein cow imagery | Statement: [Gateway, Inc., marketingMascot, Holstein cow imagery]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marketingMascot Context triple: [Gateway, Inc., marketingMascot, Holstein cow imagery]
-
A.
mascotDesigner
Indicates that one entity is responsible for designing or creating the mascot associated with another entity.
-
B.
mascotTheme
Indicates that an entity serves as the representative mascot associated with a particular theme, concept, or style.
-
C.
coMascot
Indicates that two entities serve together as mascots for the same organization, event, or group.
-
D.
isMascot
chosen
Indicates that one entity serves as the mascot or symbolic representative for another entity, such as an organization, team, or event.
-
E.
typeOfMascot
Indicates that one entity is a mascot and specifies the category or kind of mascot it is (e.g., animal, human, object, etc.).
- 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_69bd4415190c8190817bee7ec9f9f944 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd703a0fa48190809b6ac3f2731349 |
completed | March 20, 2026, 4:05 p.m. |
| PD | Predicate disambiguation | batch_69bd6c3695c8819094e7ad2f6d4ba1ac |
completed | March 20, 2026, 3:48 p.m. |
Created at: March 20, 2026, 1:30 p.m.