Triple
T3798795
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minnesota Vikings–Green Bay Packers rivalry |
E91636
|
entity |
| Predicate | fanEmotion |
P6226
|
FINISHED |
| Object | strong dislike of opposing team |
—
|
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: strong dislike of opposing team | Statement: [Minnesota Vikings–Green Bay Packers rivalry, fanEmotion, strong dislike of opposing team]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fanEmotion Context triple: [Minnesota Vikings–Green Bay Packers rivalry, fanEmotion, strong dislike of opposing team]
-
A.
fanTerm
Indicates that one entity is a term, label, or expression used by fans to refer to or describe another entity.
-
B.
fanAccess
Indicates that an entity has permission or the ability to access fan-related content, features, or areas associated with another entity.
-
C.
fanBelief
Indicates that a fan holds a particular belief, opinion, or conviction about someone or something.
-
D.
fanbaseCharacteristic
chosen
Indicates a characteristic, trait, or common quality that typically describes or distinguishes the fanbase of an entity.
-
E.
fanBase
Indicates that one entity is the group of admirers or supporters devoted to 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_69aed96354f48190a768966d6bd19b04 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aee8db8a288190afd1e3b9dcf02e97 |
completed | March 9, 2026, 3:35 p.m. |
| PD | Predicate disambiguation | batch_69aee7461abc8190945716f4b93e1a18 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:15 p.m.