Triple
T10401668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Appeal |
E245161
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Ron Fisk
Ron Fisk is the protagonist of the work "The Appeal," around whom the central legal and moral conflicts of the story revolve.
|
E863737
|
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: Ron Fisk | Statement: [The Appeal, mainCharacter, Ron Fisk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ron Fisk Context triple: [The Appeal, mainCharacter, Ron Fisk]
-
A.
Frank Fisk
Frank Fisk is an individual notable enough to be recognized as a bearer of the surname Fisk.
-
B.
Samuel Fisk
Samuel Fisk is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Fisk.
-
C.
Jack Fisk
Jack Fisk is an American production designer and director renowned for his long-running collaborations with filmmakers like Terrence Malick and David Lynch.
-
D.
Lenard A. Fisk
Lenard A. Fisk is an American space physicist known for his leadership at NASA and his influential research on the heliosphere and solar-terrestrial interactions.
-
E.
Fred Raskin
Fred Raskin is an American film editor best known for his work on several Quentin Tarantino films, including "Django Unchained," "The Hateful Eight," and "Once Upon a Time in Hollywood."
- 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: Ron Fisk Triple: [The Appeal, mainCharacter, Ron Fisk]
Generated description
Ron Fisk is the protagonist of the work "The Appeal," around whom the central legal and moral conflicts of the story revolve.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ron Fisk Target entity description: Ron Fisk is the protagonist of the work "The Appeal," around whom the central legal and moral conflicts of the story revolve.
-
A.
Frank Fisk
Frank Fisk is an individual notable enough to be recognized as a bearer of the surname Fisk.
-
B.
Samuel Fisk
Samuel Fisk is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Fisk.
-
C.
Jack Fisk
Jack Fisk is an American production designer and director renowned for his long-running collaborations with filmmakers like Terrence Malick and David Lynch.
-
D.
Lenard A. Fisk
Lenard A. Fisk is an American space physicist known for his leadership at NASA and his influential research on the heliosphere and solar-terrestrial interactions.
-
E.
Fred Raskin
Fred Raskin is an American film editor best known for his work on several Quentin Tarantino films, including "Django Unchained," "The Hateful Eight," and "Once Upon a Time in Hollywood."
- 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_69d381b5116081908d85227bab6d3c0c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9e42da08190a5383df3df6d3c18 |
completed | April 7, 2026, 11:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d87e84f7a08190b83ecfec72efb7a7 |
completed | April 10, 2026, 4:37 a.m. |
| NEDg | Description generation | batch_69d886c325c4819089dac35eb26e7961 |
completed | April 10, 2026, 5:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d88dbbe97c8190861e08f3ff39f91b |
completed | April 10, 2026, 5:42 a.m. |
Created at: April 6, 2026, 12:07 p.m.