Triple
T19650647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ann Blyth |
E471803
|
entity |
| Predicate | workedWith |
P398
|
FINISHED |
| Object | Howard Keel |
—
|
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: Howard Keel | Statement: [Ann Blyth, workedWith, Howard Keel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Howard Keel Context triple: [Ann Blyth, workedWith, Howard Keel]
-
A.
Howard Keel
chosen
Howard Keel was an American actor and baritone singer best known for his leading roles in classic MGM musicals of the 1950s and later for his role on the TV series "Dallas."
-
B.
Bob Merrill
Bob Merrill was an American songwriter and lyricist best known for his work on Broadway musicals and popular songs in the mid-20th century.
-
C.
Gordon MacRae
Gordon MacRae was an American actor and singer best known for his leading roles in classic Hollywood film musicals such as "Oklahoma!" and "Carousel."
-
D.
John Cullum
John Cullum is an American actor and singer best known for his Tony Award–winning work on Broadway and his roles in film and television, including the series "Northern Exposure."
-
E.
Cliff Hayes
Cliff Hayes is a film editor best known for his work on the influential Australian action film "Mad Max."
- 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_69d8e51395348190ac1416d46dfc6db0 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e641286bbc8190886f309de13063bf |
completed | April 20, 2026, 3:07 p.m. |
Created at: April 10, 2026, 1:44 p.m.