Triple
T19797874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Along Came Bialy |
E475590
|
entity |
| Predicate | associatedCharacter |
P12208
|
FINISHED |
| Object | Little Old Ladies |
—
|
NE NERFINISHED |
How this triple was built (3 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: Little Old Ladies | Statement: [Along Came Bialy, associatedCharacter, Little Old Ladies]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Little Old Ladies Context triple: [Along Came Bialy, associatedCharacter, Little Old Ladies]
-
A.
The Old Lady
The Old Lady is a recurring comic character from Fontaine Fox’s early 20th-century newspaper strip "Toonerville Folks," known for embodying the quaint, humorous charm of small-town life.
-
B.
My Old Lady
My Old Lady is a stage play (later adapted into a film) that blends drama and dark comedy as it follows an American man who inherits a Paris apartment occupied by an elderly woman with a complex past.
-
C.
"Old Lady"
"Old Lady" is a colloquial nickname referring to the Bank of England, derived from the famous satirical figure known as the Old Lady of Threadneedle Street.
-
D.
The Old People
"The Old People" is a short story by William Faulkner that forms part of his collection *Go Down, Moses*, exploring themes of heritage, race, and the Southern wilderness through a young boy’s hunting experiences.
-
E.
Miss Granny
Miss Granny is a popular South Korean comedy-drama film about an elderly woman who mysteriously regains her youthful appearance, leading to humorous and heartfelt consequences.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Little Old Ladies Target entity description: Little Old Ladies are a chorus of elderly women in the musical "The Producers," humorously portrayed as enthusiastic backers of Max Bialystock’s theatrical schemes.
-
A.
The Old Lady
The Old Lady is a recurring comic character from Fontaine Fox’s early 20th-century newspaper strip "Toonerville Folks," known for embodying the quaint, humorous charm of small-town life.
-
B.
My Old Lady
My Old Lady is a stage play (later adapted into a film) that blends drama and dark comedy as it follows an American man who inherits a Paris apartment occupied by an elderly woman with a complex past.
-
C.
"Old Lady"
"Old Lady" is a colloquial nickname referring to the Bank of England, derived from the famous satirical figure known as the Old Lady of Threadneedle Street.
-
D.
The Old People
"The Old People" is a short story by William Faulkner that forms part of his collection *Go Down, Moses*, exploring themes of heritage, race, and the Southern wilderness through a young boy’s hunting experiences.
-
E.
Miss Granny
Miss Granny is a popular South Korean comedy-drama film about an elderly woman who mysteriously regains her youthful appearance, leading to humorous and heartfelt consequences.
- F. None of above. chosen
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_69d8e51b014081908b263e167370529a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e653c877288190b56ee7eedea710a3 |
completed | April 20, 2026, 4:26 p.m. |
Created at: April 10, 2026, 1:49 p.m.