Triple
T15600455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Road House |
E375015
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Jimmy Reno
Jimmy Reno is a brutal henchman and skilled fighter who serves as one of the main antagonist’s enforcers in the action film "Road House."
|
E1167631
|
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: Jimmy Reno | Statement: [Road House, character, Jimmy Reno]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jimmy Reno Context triple: [Road House, character, Jimmy Reno]
-
A.
Phil Balsley
Phil Balsley is an American country and gospel singer best known as the baritone vocalist and founding member of the award-winning group The Statler Brothers.
-
B.
Dave O’Donnell
Dave O’Donnell is a music producer and engineer known for his work with prominent rock and pop artists.
-
C.
Jeff Buchanan
Jeff Buchanan is a professional editor, likely working in publishing or media, known for collaborating on written content such as articles or manuscripts.
-
D.
Roger Donley
Roger Donley is a film editor known for his work on the animated feature "Snoopy, Come Home."
-
E.
Joe Roberts
Joe Roberts is a central character in the film "The Indian Runner," depicted as a morally upright small-town deputy sheriff whose strained relationship with his troubled brother drives the movie’s emotional conflict.
- 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: Jimmy Reno Triple: [Road House, character, Jimmy Reno]
Generated description
Jimmy Reno is a brutal henchman and skilled fighter who serves as one of the main antagonist’s enforcers in the action film "Road House."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jimmy Reno Target entity description: Jimmy Reno is a brutal henchman and skilled fighter who serves as one of the main antagonist’s enforcers in the action film "Road House."
-
A.
Phil Balsley
Phil Balsley is an American country and gospel singer best known as the baritone vocalist and founding member of the award-winning group The Statler Brothers.
-
B.
Dave O’Donnell
Dave O’Donnell is a music producer and engineer known for his work with prominent rock and pop artists.
-
C.
Jeff Buchanan
Jeff Buchanan is a professional editor, likely working in publishing or media, known for collaborating on written content such as articles or manuscripts.
-
D.
Roger Donley
Roger Donley is a film editor known for his work on the animated feature "Snoopy, Come Home."
-
E.
Joe Roberts
Joe Roberts is a central character in the film "The Indian Runner," depicted as a morally upright small-town deputy sheriff whose strained relationship with his troubled brother drives the movie’s emotional conflict.
- 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_69d85cce25008190b13b52745fbd719b |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e621fc4819097e8e85e7ddfdc6c |
completed | April 16, 2026, 2:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff5f355ff48190a2c2c262c09e6de0 |
completed | May 9, 2026, 4:22 p.m. |
| NEDg | Description generation | batch_69ff603299cc8190ad0eb57d10079651 |
completed | May 9, 2026, 4:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff60c6b7e48190a04cb43dcc3bdb39 |
completed | May 9, 2026, 4:28 p.m. |
Created at: April 10, 2026, 4:12 a.m.