Triple
T23683685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Shaggy D.A. |
E585101
|
entity |
| Predicate | hasHumanToAnimalTransformation |
P137925
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [The Shaggy D.A., hasHumanToAnimalTransformation, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHumanToAnimalTransformation Context triple: [The Shaggy D.A., hasHumanToAnimalTransformation, yes]
-
A.
turnsIntoAnimals
chosen
Indicates a transformation relationship where an entity changes its form or state into one or more animals.
-
B.
wasTransformedBy
Indicates that an entity has undergone a change of state, form, or condition as the result of an action, process, or agent.
-
C.
hasAnimal
Indicates that one entity possesses, keeps, or is associated with an animal.
-
D.
hasAgeTransformation
Indicates a relationship where an entity undergoes or causes a change in age or age-related state.
-
E.
motherTransformedInto
Indicates that an entity’s mother has been changed or converted into another form, state, or entity.
- 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_69e24901f7c08190909fd727632e823d |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b4fa72b48190b872670b6546a718 |
completed | April 29, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69f155d5265881908e43a9696b6a6d0f |
completed | April 29, 2026, 12:50 a.m. |
Created at: April 17, 2026, 6:52 p.m.