Triple
T23226755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Kid from Brooklyn |
E581035
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object | Frank Mayo |
—
|
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: Frank Mayo | Statement: [The Kid from Brooklyn, hasCastMember, Frank Mayo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frank Mayo Context triple: [The Kid from Brooklyn, hasCastMember, Frank Mayo]
-
A.
Frank Mayo
chosen
Frank Mayo was an American actor best known for his prolific work in silent films and early sound cinema.
-
B.
Walter Edward Cox
Walter Edward Cox, better known by his stage name Bud Cort, is an American actor and comedian best known for his role as Harold in the cult classic film "Harold and Maude."
-
C.
William Francis Murphy
William Francis Murphy, better known as Frank Murphy, was an American jurist and politician who served as U.S. Attorney General, Governor of Michigan, and an Associate Justice of the U.S. Supreme Court.
-
D.
Whitman Mayo
Whitman Mayo was an American character actor best known for his role as Grady Wilson on the television sitcom "Sanford and Son."
-
E.
Frank Seiberling
Frank Seiberling was an American industrialist best known for founding the Goodyear Tire & Rubber Company, which became one of the world’s leading tire manufacturers.
- 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_69e246043c48819089bae72c9a9c306c |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f1922f5b4081908145d66ea7534493 |
completed | April 29, 2026, 5:07 a.m. |
Created at: April 17, 2026, 4:09 p.m.