Triple
T17512958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Babes in Toyland |
E426495
|
entity |
| Predicate | bassist |
P15279
|
FINISHED |
| Object | Maureen Herman |
—
|
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: Maureen Herman | Statement: [Babes in Toyland, bassist, Maureen Herman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maureen Herman Context triple: [Babes in Toyland, bassist, Maureen Herman]
-
A.
Maureen Herman
chosen
Maureen Herman is an American musician best known as the bassist for the influential punk rock band Babes in Toyland during the early 1990s alternative rock scene.
-
B.
Maureen Bauer
Maureen Bauer is a fictional character from the long-running American soap opera "Guiding Light," known as a central member of the Bauer family.
-
C.
Maureen Modiselle
Maureen Modiselle is a South African politician who served as the Premier of the North West province.
-
D.
Maureen Swanson
Maureen Swanson was a British actress active in the 1950s, known for her roles in comedy and drama films before later becoming the Countess of Dudley.
-
E.
Maureen Blumhardt
Maureen Blumhardt is a former model and legal aide best known as the longtime wife of NBA Hall of Famer Charles Barkley.
- 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_69d889dd9164819087b1dc3c9240c870 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4525d29fc819080851bf744bc78ed |
completed | April 19, 2026, 3:56 a.m. |
Created at: April 10, 2026, 5:49 a.m.