Triple
T21961473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nora Charles |
E542339
|
entity |
| Predicate | hasPet |
P8711
|
FINISHED |
| Object | Asta (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: Asta (dog) | Statement: [Nora Charles, hasPet, Asta (dog)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Asta (dog) Context triple: [Nora Charles, hasPet, Asta (dog)]
-
A.
Asta (dog)
chosen
Asta is the clever and charismatic terrier featured as Nick and Nora Charles’s dog in the classic Thin Man detective films and stories.
-
B.
Guga
Guga is the popular nickname of Brazilian former tennis star Gustavo Kuerten, a three-time French Open champion known for his charismatic personality and clay-court prowess.
-
C.
Jonathan the Husky
Jonathan the Husky is the costumed canine mascot representing the University of Connecticut and its athletic teams, including the renowned women’s basketball program.
-
D.
Kavik the Wolf Dog
Kavik the Wolf Dog is a children's adventure novel about a courageous sled dog’s struggle for survival and journey home in the Alaskan wilderness.
-
E.
Anka
Anka is a common diminutive form of the female given name Anna, used in several Slavic and Central European languages.
- 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_69e0c47fab1081908dc74a6545dbb051 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f12455e99c819092ec59fe571f814e |
completed | April 28, 2026, 9:19 p.m. |
Created at: April 16, 2026, 8 p.m.