Triple
T18291239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jerry Lundegaard |
E438118
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | Wade Gustafson |
—
|
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: Wade Gustafson | Statement: [Jerry Lundegaard, employer, Wade Gustafson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wade Gustafson Context triple: [Jerry Lundegaard, employer, Wade Gustafson]
-
A.
Wade Gustafson
chosen
Wade Gustafson is a wealthy, stubborn, and domineering car dealership owner in the film "Fargo," known for his tense relationship with his son-in-law Jerry Lundegaard.
-
B.
Wade Garrett
Wade Garrett is a seasoned, tough-as-nails veteran bouncer and mentor figure in the action film "Road House."
-
C.
Wade Eiling
Wade Eiling is a ruthless U.S. military general and recurring DC Comics supervillain, often associated with the Captain Atom and Justice League storylines.
-
D.
Guy Weadick
Guy Weadick was an American-born cowboy, promoter, and showman best known for creating the Calgary Stampede and helping popularize rodeo culture in Canada.
-
E.
Greg Wuliger
Greg Wuliger is Chris Rock’s loyal, nerdy best friend in the sitcom "Everybody Hates Chris," known for his quirky personality and unwavering support.
- 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_69d8b914530c8190b4474d862a2b2a1b |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e500fee5248190928e68ddaa4d90d7 |
completed | April 19, 2026, 4:21 p.m. |
Created at: April 10, 2026, 10:35 a.m.