Triple

T32063457
Position Surface form Disambiguated ID Type / Status
Subject Colt Bennett E818808 entity
Predicate worksAt P7 FINISHED
Object Bennett family ranch
The Bennett family ranch is a fictional Colorado cattle ranch that serves as the central setting for the Netflix sitcom "The Ranch," where Colt Bennett returns to work and reconnect with his family.
E1990294 NE FINISHED

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: Bennett family ranch | Statement: [Colt Bennett, worksAt, Bennett family ranch]
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: Bennett family ranch
Triple: [Colt Bennett, worksAt, Bennett family ranch]
Generated description
The Bennett family ranch is a fictional Colorado cattle ranch that serves as the central setting for the Netflix sitcom "The Ranch," where Colt Bennett returns to work and reconnect with his family.

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_69f348fecc088190af1470afe5a969f0 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6b4f757788190b3f55d91289b7fc1 completed May 3, 2026, 2:37 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2ed50bbea08190b566e68312e93027 completed June 14, 2026, 4:21 p.m.
NEDg Description generation batch_6a2ed57bce6481908ed70e20ec7a071b completed June 14, 2026, 4:23 p.m.
NED2 Entity disambiguation (via description) batch_6a2ed794fb508190af3854456587e3f9 completed June 14, 2026, 4:32 p.m.
Created at: May 1, 2026, 12:22 a.m.