Triple
T10752071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nurse Betty |
E253594
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Gail Mutrux |
E287173
|
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: Gail Mutrux | Statement: [Nurse Betty, producer, Gail Mutrux]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gail Mutrux Context triple: [Nurse Betty, producer, Gail Mutrux]
-
A.
Gail Mutrux
chosen
Gail Mutrux is an American film producer known for her work on acclaimed dramas such as "News of the World" and "Donnie Brasco."
-
B.
Alison Schapker
Alison Schapker is an American television writer and producer known for her work on series such as Alias, Lost, Fringe, and The Flash.
-
C.
Dr. Susan Lewis
Dr. Susan Lewis is a central emergency physician character on the long-running medical drama series "ER," known for her compassionate care and complex personal storylines.
-
D.
Marcia Strassman
Marcia Strassman was an American actress best known for her roles in the sitcom "Welcome Back, Kotter" and the "Honey, I Shrunk the Kids" film series.
-
E.
Peggy Eisenhauer
Peggy Eisenhauer is a renowned American lighting designer known for her acclaimed work on Broadway productions and collaborations with top theater artists.
- 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_69d6aa5e51e8819095f06881cecf152e |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d71dc184d0819085f8bc4edb034377 |
completed | April 9, 2026, 3:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69deb0a03a1481908edb933b1613a027 |
completed | April 14, 2026, 9:24 p.m. |
Created at: April 8, 2026, 9:15 p.m.