Triple
T20700916
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Elmer Carson |
E508777
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Kay St. Germain |
—
|
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: Kay St. Germain | Statement: [John Elmer Carson, spouse, Kay St. Germain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kay St. Germain Context triple: [John Elmer Carson, spouse, Kay St. Germain]
-
A.
Kay St. Germain
chosen
Kay St. Germain was an American singer and actress best known for her work in mid-20th-century film and theater and for her marriage to character actor Jack Carson.
-
B.
Alex Kerkovich
Alex Kerkovich is a quirky, fashion-conscious and often self-absorbed woman known for her comedic antics and complicated relationships in the sitcom "Happy Endings."
-
C.
Kit Carruthers
Kit Carruthers is the charismatic yet disturbingly detached young drifter and spree killer at the center of Terrence Malick’s film "Badlands."
-
D.
Alex Groesbeck
Alex Groesbeck was a Republican politician who served as the 30th governor of Michigan in the early 20th century.
-
E.
Kim Germain
Kim Germain is a sports executive best known as the owner of the Frisco Fighters indoor football team.
- 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_69e0b4c2b2a481909e31e9cb8f81ab55 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6c18bfac08190bf80beeb3ce1951a |
completed | April 21, 2026, 12:15 a.m. |
Created at: April 16, 2026, 12:12 p.m.