Triple
T11052176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert A. Dahl |
E261282
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Betty Dahl |
E261282
|
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: Betty Dahl | Statement: [Robert A. Dahl, spouse, Betty Dahl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Betty Dahl Context triple: [Robert A. Dahl, spouse, Betty Dahl]
-
A.
Betty Dahl
chosen
Betty Dahl was the wife of influential American political scientist Robert A. Dahl.
-
B.
Betty Heminger
Betty Heminger was the wife of American singer and television host Tennessee Ernie Ford.
-
C.
Betty Lou Keim
Betty Lou Keim was an American film and television actress best known for her roles in 1950s teen dramas and coming-of-age stories.
-
D.
Betty Haas
Betty Haas is known as the former wife of American politician and longtime U.S. Senator Joe Lieberman.
-
E.
Betty Jaynes
Betty Jaynes was an American soprano and film actress best known for her musical roles in late 1930s MGM productions.
- 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_69d6aa98650481908609c7c56bfa7902 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7986c0df88190b29d71db5538450a |
completed | April 9, 2026, 12:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f4578899ac81908b6e3c8948ca6628 |
completed | May 1, 2026, 7:34 a.m. |
Created at: April 8, 2026, 9:26 p.m.