Triple
T15850802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gordy |
E384331
|
entity |
| Predicate | typeOfMascotFor |
P33791
|
FINISHED |
| Object | professional basketball 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: professional basketball team | Statement: [Gordy, typeOfMascotFor, professional basketball team]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfMascotFor Context triple: [Gordy, typeOfMascotFor, professional basketball team]
-
A.
typeOfMascot
Indicates that one entity is a mascot and specifies the category or kind of mascot it is (e.g., animal, human, object, etc.).
-
B.
mascotTheme
Indicates that an entity serves as the representative mascot associated with a particular theme, concept, or style.
-
C.
isMascot
chosen
Indicates that one entity serves as the mascot or symbolic representative for another entity, such as an organization, team, or event.
-
D.
hasMascot
Indicates that an entity is represented or symbolized by a particular mascot.
-
E.
mascotCharacteristic
Indicates that a mascot possesses or is associated with a particular characteristic or trait.
- 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_69d86da422088190aac39e32e6c68429 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e174de2cd48190ab18e48c9f051a2a |
completed | April 16, 2026, 11:46 p.m. |
| PD | Predicate disambiguation | batch_69e142b976c081908d3ba3e705419f3a |
completed | April 16, 2026, 8:12 p.m. |
Created at: April 10, 2026, 4:50 a.m.