Triple
T7354100
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Marrying Kind |
E169578
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Aldo Ray |
E686359
|
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: Aldo Ray | Statement: [The Marrying Kind, castMember, Aldo Ray]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aldo Ray Context triple: [The Marrying Kind, castMember, Aldo Ray]
-
A.
Aldo Ray
chosen
Aldo Ray was an American film actor known for his tough-guy roles and distinctive raspy voice in numerous Hollywood movies of the 1950s and 1960s.
-
B.
Robert Ryan
Robert Ryan was an American actor renowned for his intense portrayals of tough, complex characters in mid-20th-century film noir and drama.
-
C.
Robert Parrish
Robert Parrish was an American film editor and director, as well as a former child actor, known for his work on several classic Hollywood films.
-
D.
Leon Errol
Leon Errol was an Australian-born American comedian and character actor best known for his rubber-legged physical comedy and prolific work in vaudeville, Broadway, and Hollywood films of the early 20th century.
-
E.
Richard Basehart
Richard Basehart was an American actor known for his versatile film and television roles, including performances in "La Strada" and the TV series "Voyage to the Bottom of the Sea."
- 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_69c68a59f2288190877ca15c19b1e822 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f10e71fc81909307ca39a61142d3 |
completed | March 27, 2026, 9:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8c7adaf3c819095214864b91316f6 |
completed | March 29, 2026, 6:33 a.m. |
Created at: March 27, 2026, 3:05 p.m.