Triple
T15681870
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bushwood Country Club |
E377596
|
entity |
| Predicate | associatedWithAnimalCharacter |
P51902
|
FINISHED |
| Object | gopher |
—
|
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: gopher | Statement: [Bushwood Country Club, associatedWithAnimalCharacter, gopher]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithAnimalCharacter Context triple: [Bushwood Country Club, associatedWithAnimalCharacter, gopher]
-
A.
associatedWithAnimal
chosen
Indicates a relationship where an entity has a connection, link, or relevance to an animal.
-
B.
hasAnimalActor
Indicates that an animal serves as the acting agent or performer in the specified event or relationship.
-
C.
animalProtagonist
Indicates that the main character or central figure in a narrative is an animal.
-
D.
associatedWithCharacterRole
Indicates that one entity has a connection or linkage to a specific character role played or held by another entity.
-
E.
petCharacter
Indicates that one entity is a pet belonging to, cared for by, or closely associated with another entity as its owner or companion.
- 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_69d85cd2e28481909d4e975bee20872f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04f306a1c8190a819541a3cc51f5a |
completed | April 16, 2026, 2:53 a.m. |
| PD | Predicate disambiguation | batch_69deda8b36a4819081cb5708fe77ef51 |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:16 a.m.