Triple
T20562425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charlie Haden |
E504874
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Ruth Cameron |
—
|
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: Ruth Cameron | Statement: [Charlie Haden, spouse, Ruth Cameron]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ruth Cameron Context triple: [Charlie Haden, spouse, Ruth Cameron]
-
A.
Ruth Cameron
chosen
Ruth Cameron is an American jazz singer and producer known for her work with and marriage to renowned bassist Charlie Haden.
-
B.
Ruth Cameron
Ruth Cameron is an alternate name used by American film and stage actress Marguerite Churchill, known for her roles in early 20th-century cinema.
-
C.
Anna Cameron
Anna Cameron is one of the children of American actor and evangelical Christian speaker Kirk Cameron.
-
D.
Elizabeth Campbell
Elizabeth Campbell was the wife of renowned American photographer, filmmaker, and writer Gordon Parks.
-
E.
Ruth McCausland
Ruth McCausland is the dedicated and increasingly alarmed town librarian and civic leader in Stephen King’s novel "The Tommyknockers," who becomes one of the first to recognize the sinister changes overtaking Haven.
- 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_69e0b4b6587c8190aee63dc7cff244ea |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a79f906c819081163de9649ccb17 |
completed | April 20, 2026, 10:24 p.m. |
Created at: April 16, 2026, 11:39 a.m.