Triple
T4420089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fargo |
E95075
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Gaear Grimsrud
Gaear Grimsrud is a taciturn, brutally violent hitman and one of the primary antagonists in the Coen brothers’ crime film "Fargo."
|
E441914
|
NE FINISHED |
How this triple was built (4 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: Gaear Grimsrud | Statement: [Fargo, character, Gaear Grimsrud]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gaear Grimsrud Context triple: [Fargo, character, Gaear Grimsrud]
-
A.
Ralph Høibakk
Ralph Høibakk is a Norwegian mountaineer and engineer known for his pioneering high-altitude climbs, including the first ascent of the Himalayan peak Tirich Mir.
-
B.
Erik Selvig
Erik Selvig is a fictional astrophysicist in the Marvel Cinematic Universe who becomes a close ally of Thor and plays a key role in studying and understanding cosmic phenomena.
-
C.
Christian M. Ravndal
Christian M. Ravndal was an American diplomat who served as the United States Ambassador to Hungary.
-
D.
Tim Lovestedt
Tim Lovestedt is a screenwriter known for his work on the military drama film "Megan Leavey."
-
E.
Rune Gerhardsen
Rune Gerhardsen is a Norwegian Labour Party politician and former Oslo city council leader, known as the son of long-serving prime minister Einar Gerhardsen.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Gaear Grimsrud Triple: [Fargo, character, Gaear Grimsrud]
Generated description
Gaear Grimsrud is a taciturn, brutally violent hitman and one of the primary antagonists in the Coen brothers’ crime film "Fargo."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gaear Grimsrud Target entity description: Gaear Grimsrud is a taciturn, brutally violent hitman and one of the primary antagonists in the Coen brothers’ crime film "Fargo."
-
A.
Ralph Høibakk
Ralph Høibakk is a Norwegian mountaineer and engineer known for his pioneering high-altitude climbs, including the first ascent of the Himalayan peak Tirich Mir.
-
B.
Erik Selvig
Erik Selvig is a fictional astrophysicist in the Marvel Cinematic Universe who becomes a close ally of Thor and plays a key role in studying and understanding cosmic phenomena.
-
C.
Christian M. Ravndal
Christian M. Ravndal was an American diplomat who served as the United States Ambassador to Hungary.
-
D.
Tim Lovestedt
Tim Lovestedt is a screenwriter known for his work on the military drama film "Megan Leavey."
-
E.
Rune Gerhardsen
Rune Gerhardsen is a Norwegian Labour Party politician and former Oslo city council leader, known as the son of long-serving prime minister Einar Gerhardsen.
- F. None of above. chosen
Provenance (5 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_69b627f1a7a0819087652c3599855274 |
completed | March 15, 2026, 3:30 a.m. |
| NEDg | Description generation | batch_69b6295218e88190a48e8bfeb2febe2e |
completed | March 15, 2026, 3:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b62b05bcec8190a0c8d1c0e5a62c75 |
completed | March 15, 2026, 3:44 a.m. |
Created at: March 12, 2026, 11:29 p.m.