Triple
T18737296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nowhere, Kansas |
E458198
|
entity |
| Predicate | inhabitedBy |
P6481
|
FINISHED |
| Object | Muriel Bagge |
—
|
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: Muriel Bagge | Statement: [Nowhere, Kansas, inhabitedBy, Muriel Bagge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Muriel Bagge Context triple: [Nowhere, Kansas, inhabitedBy, Muriel Bagge]
-
A.
Muriel Bagge
chosen
Muriel Bagge is the kind, elderly Scottish woman who lovingly cares for Courage the Cowardly Dog in the animated horror-comedy series.
-
B.
Muriel Brown
Muriel Brown is a fictional character in the French film "Two English Girls," which explores a complex romantic relationship between two English sisters and a Frenchman in the early 20th century.
-
C.
Delia Pinner
Delia Pinner is a fictional character who serves as the protagonist's wife in the British film "The Punch and Judy Man."
-
D.
Doreen Brett
Doreen Brett was the wife of British comedian and actor Norman Wisdom.
-
E.
Muriel Lang
Muriel Lang is a fictional character who serves as the central figure in the film "It Could Happen to You."
- 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_69d8d394dc308190b6725073f5db324c |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5768b80ac8190bc05628d64f86fc9 |
completed | April 20, 2026, 12:42 a.m. |
Created at: April 10, 2026, 11:51 a.m.