Triple
T17664909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dick Enberg |
E440351
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Barbara Enberg |
—
|
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: Barbara Enberg | Statement: [Dick Enberg, spouse, Barbara Enberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barbara Enberg Context triple: [Dick Enberg, spouse, Barbara Enberg]
-
A.
Barbara Enberg
chosen
Barbara Enberg is known as the wife of the late American sportscaster Dick Enberg.
-
B.
Barbara Blomberg
Barbara Blomberg was a 16th-century German woman best known as the mistress of Holy Roman Emperor Charles V and the mother of his illegitimate son, John of Austria (the Elder).
-
C.
Barbara Gest
Barbara Gest is a relative of the late American producer and television personality David Gest.
-
D.
Margaret Engemann
Margaret Engemann was the wife of pioneering American mathematician and cybernetics founder Norbert Wiener.
-
E.
Lesley Selander
Lesley Selander was a prolific American film director best known for his work on mid-20th-century Westerns and action pictures.
- 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_69d8b9e87e18819087104a44dc4dc5b1 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e46ea8accc8190beea0900b0614020 |
completed | April 19, 2026, 5:56 a.m. |
Created at: April 10, 2026, 9:55 a.m.