Triple
T20367688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jerry (The Zoo Story) |
E496956
|
entity |
| Predicate | relationshipToAnimals |
P17031
|
FINISHED |
| Object | has disturbing story about a dog |
—
|
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: has disturbing story about a dog | Statement: [Jerry (The Zoo Story), relationshipToAnimals, has disturbing story about a dog]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToAnimals Context triple: [Jerry (The Zoo Story), relationshipToAnimals, has disturbing story about a dog]
-
A.
relationshipToCreature
Indicates a specified type of relational connection that one entity has toward a particular creature.
-
B.
relationshipToBirds
Indicates the nature or type of connection an entity has with birds, such as interaction, association, or relevance.
-
C.
associatedWithAnimal
Indicates a relationship where an entity has a connection, link, or relevance to an animal.
-
D.
animalTypeLoved
Indicates that one entity loves or is especially fond of animals of a particular type.
-
E.
regardsDogsAs
chosen
Indicates that one entity holds a particular attitude, view, or treatment toward dogs.
- 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_69e0b4a4f9b081908a5a021919c21ccb |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6787291d88190a526fe2461d2a7c6 |
completed | April 20, 2026, 7:03 p.m. |
| PD | Predicate disambiguation | batch_69e57648be3c81908256838228cabf5c |
completed | April 20, 2026, 12:41 a.m. |
Created at: April 16, 2026, 11:26 a.m.