Triple
T9741178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Ranch |
E236187
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Colt Bennett
Colt Bennett is a fictional former semi-pro football player who returns to help run his family's Colorado ranch in the Netflix sitcom "The Ranch."
|
E818808
|
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: Colt Bennett | Statement: [The Ranch, character, Colt Bennett]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Colt Bennett Context triple: [The Ranch, character, Colt Bennett]
-
A.
Brennan Carroll
Brennan Carroll is an American football coach and the son of longtime NFL and college head coach Pete Carroll.
-
B.
Brennan Chapman
Brennan Chapman is a cinematographer known for his work on the animated feature film "The Super Mario Bros. Movie."
-
C.
Devlin Elliott
Devlin Elliott is an American theater and film producer best known as the husband of actor Nathan Lane.
-
D.
Joshua Cordes
Joshua Cordes is a screenwriter best known for co-writing the science fiction film "Skyline."
-
E.
Colston Bassett
Colston Bassett is a small English village in Nottinghamshire, best known for its traditional Stilton cheese production and rural countryside setting.
- 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: Colt Bennett Triple: [The Ranch, character, Colt Bennett]
Generated description
Colt Bennett is a fictional former semi-pro football player who returns to help run his family's Colorado ranch in the Netflix sitcom "The Ranch."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Colt Bennett Target entity description: Colt Bennett is a fictional former semi-pro football player who returns to help run his family's Colorado ranch in the Netflix sitcom "The Ranch."
-
A.
Brennan Carroll
Brennan Carroll is an American football coach and the son of longtime NFL and college head coach Pete Carroll.
-
B.
Brennan Chapman
Brennan Chapman is a cinematographer known for his work on the animated feature film "The Super Mario Bros. Movie."
-
C.
Devlin Elliott
Devlin Elliott is an American theater and film producer best known as the husband of actor Nathan Lane.
-
D.
Joshua Cordes
Joshua Cordes is a screenwriter best known for co-writing the science fiction film "Skyline."
-
E.
Colston Bassett
Colston Bassett is a small English village in Nottinghamshire, best known for its traditional Stilton cheese production and rural countryside setting.
- 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_69ca84d3e24481908a476e2231123cf9 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9f2af3e48190b83a442cd0e84062 |
completed | April 1, 2026, 10:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1afe974608190874e2aba2189de80 |
completed | April 5, 2026, 12:42 a.m. |
| NEDg | Description generation | batch_69d1b08ba1f48190830852f9d60e3368 |
completed | April 5, 2026, 12:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1b124659481909e7a2ecaf01d8a50 |
completed | April 5, 2026, 12:47 a.m. |
Created at: March 30, 2026, 8:23 p.m.