Triple
T22355685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phil Silvers |
E552645
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Joan Sands |
—
|
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: Joan Sands | Statement: [Phil Silvers, spouse, Joan Sands]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joan Sands Context triple: [Phil Silvers, spouse, Joan Sands]
-
A.
Joan Sands
chosen
Joan Sands was the wife of American comedian and actor Phil Silvers.
-
B.
Joan Sanderson
Joan Sanderson was a British character actress best known for her comic roles on stage and in television sitcoms during the mid-20th century.
-
C.
Joan Towne
Joan Towne was a 17th-century New England woman known primarily as the mother of Sarah Towne Cloyce, one of the women accused during the Salem witch trials.
-
D.
Sandy Rogers
Sandy Rogers is one of the adopted children of American singer, actress, and cowgirl icon Dale Evans and her husband Roy Rogers.
-
E.
Joan O’Brien
Joan O’Brien is an American actress and singer best known for her film roles in the late 1950s and early 1960s, including appearances opposite stars like Cary Grant and Elvis Presley.
- 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_69e11e4a0ad08190a385b4d343cf6524 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f157cf94508190b0f2c63ddfecb813 |
completed | April 29, 2026, 12:58 a.m. |
Created at: April 16, 2026, 8:44 p.m.