Triple
T16152318
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aggie McDonald |
E391942
|
entity |
| Predicate | appearsIn |
P795
|
FINISHED |
| Object | Johnny Belinda |
E91757
|
NE 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: Johnny Belinda | Statement: [Aggie McDonald, appearsIn, Johnny Belinda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Johnny Belinda Context triple: [Aggie McDonald, appearsIn, Johnny Belinda]
-
A.
Johnny Belinda
chosen
"Johnny Belinda" is a 1948 drama film best known for Jane Wyman’s Oscar-winning performance as a deaf-mute woman living in a small Nova Scotia fishing village.
-
B.
Malvina Reynolds
Malvina Reynolds was an American folk singer-songwriter and political activist best known for her socially conscious songs like "Little Boxes" that became emblematic of the 1960s folk music revival.
-
C.
Lilly Belle
Lilly Belle is a steam locomotive that operates on the Walt Disney World Railroad at the Magic Kingdom theme park in Florida.
-
D.
Nellybelle
Nellybelle is the famously cantankerous World War II-era Jeep driven by Pat Brady on the classic television series "The Roy Rogers Show."
-
E.
Nonnie
Nonnie is a diminutive or affectionate nickname commonly used for the given name Donna.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d87f1c65e48190aa2b4c472e9bafc4 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21d98d08c8190a15d4aee40d47220 |
completed | April 17, 2026, 11:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0017a45620819098ab5fa50e73e7a9 |
completed | May 10, 2026, 5:29 a.m. |
Created at: April 10, 2026, 5:01 a.m.