Triple
T4420086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fargo |
E95075
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object | Marge Gunderson |
E373166
|
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: Marge Gunderson | Statement: [Fargo, character, Marge Gunderson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marge Gunderson Context triple: [Fargo, character, Marge Gunderson]
-
A.
Marge Gunderson
chosen
Marge Gunderson is the pregnant, small-town Minnesota police chief known for her calm competence and moral clarity in the film "Fargo."
-
B.
Marge Simpson
Marge Simpson is the blue-haired, patient, and moral center of the Simpson family on the long-running animated television series "The Simpsons."
-
C.
Beverly Archer
Beverly Archer is an American television actress best known for her comedic roles in series such as "Mama’s Family" and "Major Dad."
-
D.
Pat Cleveland
Pat Cleveland is an American fashion model renowned as one of the first prominent Black supermodels, celebrated for her work in the 1970s and her influence on diversity in the fashion industry.
-
E.
Dorothy Zbornak
Dorothy Zbornak is a sharp-tongued, sarcastic, and strong-willed substitute teacher portrayed by Bea Arthur on the classic sitcom "The Golden Girls."
- 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_69b3453a36908190b95a79a297ca083c |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3551fae7c8190abafda0d78f02d89 |
completed | March 13, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5f623c958819087630c16b6ac8cb8 |
completed | March 14, 2026, 11:58 p.m. |
Created at: March 12, 2026, 11:29 p.m.