Triple
T26898738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Figaro |
E677964
|
entity |
| Predicate | hasPetTypeRelationshipWith |
P45030
|
FINISHED |
| Object | Minnie Mouse |
—
|
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: Minnie Mouse | Statement: [Figaro, hasPetTypeRelationshipWith, Minnie Mouse]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPetTypeRelationshipWith Context triple: [Figaro, hasPetTypeRelationshipWith, Minnie Mouse]
-
A.
hasPetTypeFocus
Indicates that an entity’s primary focus or concern is on a specific type or category of pet.
-
B.
belongsToSpecies
Indicates that an individual organism is a member of, or classified under, a particular biological species.
-
C.
associatedAnimalBreed
Indicates that there is a relationship linking an entity to a specific breed of animal with which it is connected or identified.
-
D.
speciesOfPet
chosen
Indicates that one entity is the species or kind of animal that the other entity is kept as a pet.
-
E.
hasAnimalClass
Indicates that an entity belongs to, or is categorized under, a particular animal class (such as mammal, bird, reptile, etc.).
- 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_69eee9befee48190a26f214faa867be7 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f6db1f3ec48190a82e7d893d3c76ba |
completed | May 3, 2026, 5:20 a.m. |
| PD | Predicate disambiguation | batch_69f6d82adfa481908a5e196d2e18c73f |
completed | May 3, 2026, 5:07 a.m. |
Created at: April 27, 2026, 5:49 a.m.