Triple
T13180589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | JoAnn Mueller |
E313710
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | JoAnn Mueller |
E313710
|
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: JoAnn Mueller | Statement: [JoAnn Mueller, name, JoAnn Mueller]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: JoAnn Mueller Context triple: [JoAnn Mueller, name, JoAnn Mueller]
-
A.
JoAnn Mueller
chosen
JoAnn Mueller is best known as the former wife of longtime Los Angeles Lakers owner Jerry Buss.
-
B.
Nancy Rotering
Nancy Rotering is an American attorney and Democratic politician who has served as the long-time mayor of Highland Park, Illinois, and has been active in gun control and public safety advocacy.
-
C.
Patricia Schultz
Patricia Schultz is known as the wife of the late American actor Joseph Mascolo, who was famous for his long-running role on the soap opera "Days of Our Lives."
-
D.
Patricia Riggen
Patricia Riggen is a Mexican film director known for her work on inspirational dramas and mainstream Hollywood films such as "Miracles from Heaven" and "The 33."
-
E.
Christa Miller
Christa Miller is an American actress best known for her comedic television roles, including prominent parts on series like Scrubs and Cougar Town.
- 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_69d806ae1e08819090d95bfe1538cc17 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c490ed081908ea54edb25c3de90 |
completed | April 10, 2026, 11:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7546b9ae081909f97fc4a06b8f927 |
completed | May 3, 2026, 1:58 p.m. |
Created at: April 9, 2026, 9:14 p.m.