Triple
T25457710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Black Cats |
E637956
|
entity |
| Predicate | usedInMascotDesignOf |
P25476
|
FINISHED |
| Object | Sunderland A.F.C. |
—
|
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: Sunderland A.F.C. | Statement: [The Black Cats, usedInMascotDesignOf, Sunderland A.F.C.]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedInMascotDesignOf Context triple: [The Black Cats, usedInMascotDesignOf, Sunderland A.F.C.]
-
A.
mascotDesigner
chosen
Indicates that one entity is responsible for designing or creating the mascot associated with another entity.
-
B.
isMascotCounterpartOf
Indicates that one entity serves as the mascot equivalent or counterpart of another entity, typically representing the same thing in a mascot form.
-
C.
typeOfMascot
Indicates that one entity is a mascot and specifies the category or kind of mascot it is (e.g., animal, human, object, etc.).
-
D.
hasMascot
Indicates that an entity is represented or symbolized by a particular mascot.
-
E.
coMascot
Indicates that two entities serve together as mascots for the same organization, event, or group.
- 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_69e75db8bab08190baca80b4a8c315fd |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f657f653448190a945b4751af8507d |
completed | May 2, 2026, 8 p.m. |
| PD | Predicate disambiguation | batch_69f6575ba12081909396036f78757a76 |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 21, 2026, 2:10 p.m.