Triple
T22764096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gunter |
E563073
|
entity |
| Predicate | friendOf |
P8712
|
FINISHED |
| Object | Rosita |
—
|
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: Rosita | Statement: [Gunter, friendOf, Rosita]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rosita Context triple: [Gunter, friendOf, Rosita]
-
A.
Rosita
Rosita is a shy but talented pig and devoted mother who becomes a standout performer in the animated musical film "Sing."
-
B.
Rosita
Rosita is a companion character who appears alongside the Doctor in the "Doctor Who" special episode "The Next Doctor."
-
C.
Rosita
chosen
Rosita is a bilingual, turquoise monster Muppet on Sesame Street known for introducing Spanish language and Latino culture to the show.
-
D.
Maricarmen
Maricarmen is a Spanish feminine given name that is a contracted form of "María del Carmen," traditionally associated with devotion to Our Lady of Mount Carmel.
-
E.
Adriana
Adriana is a fictional woman from 1920s Paris in the film "Midnight in Paris," who becomes the romantic fascination of the time-traveling writer Gil Pender.
- 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_69e24552e11c81909c2d61578a558bd7 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17a7f56848190b5e90f9916a5b349 |
completed | April 29, 2026, 3:26 a.m. |
Created at: April 17, 2026, 3:26 p.m.