Triple
T33405683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James (Carousel of Progress) |
E855430
|
entity |
| Predicate | appearsWithPet |
P77432
|
FINISHED |
| Object | Rover (Carousel of Progress dog) |
—
|
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: Rover (Carousel of Progress dog) | Statement: [James (Carousel of Progress), appearsWithPet, Rover (Carousel of Progress dog)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appearsWithPet Context triple: [James (Carousel of Progress), appearsWithPet, Rover (Carousel of Progress dog)]
-
A.
appearsWithSpecies
Indicates that one entity is observed or recorded together with a particular species in the same context or occurrence.
-
B.
appearsWithCharacter
Indicates that two characters are shown or present together within the same scene, shot, or context.
-
C.
hasFictionalPet
Indicates that an entity has, owns, or is associated with a pet that is fictional or imaginary.
-
D.
petCharacter
chosen
Indicates that one entity is a pet belonging to, cared for by, or closely associated with another entity as its owner or companion.
-
E.
appearsIn
Indicates that an entity is present, featured, or occurs within a particular context, work, or medium.
- 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_69f3496f04a08190804e56ac5098b8e4 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fd7fdafbe881908a31fcb407af2c34 |
completed | May 8, 2026, 6:16 a.m. |
| PD | Predicate disambiguation | batch_69fd7ef0ea908190b5d83f71565bdb1c |
completed | May 8, 2026, 6:13 a.m. |
Created at: May 1, 2026, 1:36 a.m.