Triple
T35300980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Million Pound Game |
E1019502
|
entity |
| Predicate | hasFanImpact |
P191019
|
FINISHED |
| Object | high emotional investment from supporters |
—
|
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: high emotional investment from supporters | Statement: [Million Pound Game, hasFanImpact, high emotional investment from supporters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFanImpact Context triple: [Million Pound Game, hasFanImpact, high emotional investment from supporters]
-
A.
hasFandomImpact
chosen
Indicates that something significantly influences, shapes, or contributes to the behavior, culture, or development of a fan community.
-
B.
hasFan
Indicates that an entity is the admirer, supporter, or enthusiast of another entity.
-
C.
hasSignificantInfluenceIn
Indicates that one entity exerts a substantial impact or shaping effect on another entity within a particular domain, context, or outcome.
-
D.
hasFanActivity
Indicates that an entity is associated with actions, behaviors, or engagement carried out by fans in relation to it.
-
E.
hasImpactFocus
Indicates that an entity is primarily concerned with or directed toward a particular type or area of impact.
- 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_69f76de8b4c48190ae504b86185c474c |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fddf721c1481909301a0f379368f10 |
completed | May 8, 2026, 1:04 p.m. |
| PD | Predicate disambiguation | batch_69fddda1ae7c8190b5848ff9a9e39826 |
completed | May 8, 2026, 12:57 p.m. |
Created at: May 3, 2026, 4:03 p.m.