Triple
T13069586
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles Henry Noll |
E329419
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Marianne Noll |
E329421
|
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: Marianne Noll | Statement: [Charles Henry Noll, spouse, Marianne Noll]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marianne Noll Context triple: [Charles Henry Noll, spouse, Marianne Noll]
-
A.
Marianne Noll
chosen
Marianne Noll is best known as the wife of legendary Pittsburgh Steelers head coach Chuck Noll, who led the team to four Super Bowl titles in the 1970s.
-
B.
Marianne Ehrlich
Marianne Ehrlich was the daughter of Nobel Prize–winning German physician and immunologist Paul Ehrlich.
-
C.
Patricia Fruen
Patricia Fruen is an actress known for her role in the film "Way Down East."
-
D.
Virginia Dehn
Virginia Dehn was an American artist known for her distinctive paintings and prints that often incorporated abstracted landscapes and symbolic imagery.
-
E.
Margaret Lindauer
Margaret Lindauer is an individual notable enough to be recognized as a prominent bearer of the surname Lindauer.
- 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_69d80771749c81909a6d9197b9504872 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d980ec8ba48190baf52c7823482680 |
completed | April 10, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6d60510dc81909e0cba8b63a50d9c |
completed | May 3, 2026, 4:58 a.m. |
Created at: April 9, 2026, 9 p.m.