Triple
T22803073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eureka the kitten |
E564452
|
entity |
| Predicate | companionOf |
P22642
|
FINISHED |
| Object | Dorothy Gale |
—
|
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: Dorothy Gale | Statement: [Eureka the kitten, companionOf, Dorothy Gale]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dorothy Gale Context triple: [Eureka the kitten, companionOf, Dorothy Gale]
-
A.
Dorothy Gale
chosen
Dorothy Gale is the fictional young girl from Kansas who is swept away to the magical Land of Oz in L. Frank Baum’s classic children’s novel "The Wonderful Wizard of Oz."
-
B.
Dorothy
Dorothy is a feminine given name of Greek origin, meaning "gift of God," that has been widely used in English-speaking countries.
-
C.
Dorothy
Dorothy is a highly advanced humanoid robot central to the plot of the South Korean sci-fi film "Space Sweepers."
-
D.
Dorothy Vallens
Dorothy Vallens is a troubled nightclub singer at the center of the dark, surreal mystery in David Lynch's film "Blue Velvet."
-
E.
Dorothy Ann
Dorothy Ann is a studious, book-loving student from the educational children's series "The Magic School Bus," known for providing scientific facts and logical explanations during the class's adventures.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245823f4c8190ade442cdcc2c224a |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17cdf1e308190a05d0f61856be544 |
completed | April 29, 2026, 3:37 a.m. |
Created at: April 17, 2026, 3:31 p.m.