Triple

T6489094
Position Surface form Disambiguated ID Type / Status
Subject Keystone Studios E147987 entity
Predicate employed P7 FINISHED
Object Rube Miller
Rube Miller was an early 20th-century American silent film actor and comedian associated with the slapstick comedies of the Keystone era.
 E596678 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: Rube Miller | Statement: [Keystone Studios, employed, Rube Miller]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rube Miller
Context triple: [Keystone Studios, employed, Rube Miller]
  • A. Mike Jost
    Mike Jost is a musician best known as the drummer for the punk rock band Helmet.
  • B. Brian Miller
    Brian Miller is an American musician and orchestra leader best known as the longtime husband of comedian and actress Carol Burnett.
  • C. Brian Miller
    Brian Miller is a British actor best known for his character roles on television and his marriage to Doctor Who star Elisabeth Sladen.
  • D. Al McWhiggin
    Al McWhiggin is the greedy toy collector and antagonist in Pixar's animated film "Toy Story 2," known for stealing Woody to complete a valuable toy set.
  • E. Mike Rich
    Mike Rich is an American screenwriter known for writing inspirational sports and drama films such as "The Rookie," "Finding Forrester," and "Radio."
  • 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: Rube Miller
Triple: [Keystone Studios, employed, Rube Miller]
Generated description
Rube Miller was an early 20th-century American silent film actor and comedian associated with the slapstick comedies of the Keystone era.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rube Miller
Target entity description: Rube Miller was an early 20th-century American silent film actor and comedian associated with the slapstick comedies of the Keystone era.
  • A. Mike Jost
    Mike Jost is a musician best known as the drummer for the punk rock band Helmet.
  • B. Brian Miller
    Brian Miller is an American musician and orchestra leader best known as the longtime husband of comedian and actress Carol Burnett.
  • C. Brian Miller
    Brian Miller is a British actor best known for his character roles on television and his marriage to Doctor Who star Elisabeth Sladen.
  • D. Al McWhiggin
    Al McWhiggin is the greedy toy collector and antagonist in Pixar's animated film "Toy Story 2," known for stealing Woody to complete a valuable toy set.
  • E. Mike Rich
    Mike Rich is an American screenwriter known for writing inspirational sports and drama films such as "The Rookie," "Finding Forrester," and "Radio."
  • 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_69c009088f3081909cd467b05919de30 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c06a97fff88190b6f993c14df62649 completed March 22, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c653ba03288190ba4e4ce99d0ba32e completed March 27, 2026, 9:54 a.m.
NEDg Description generation batch_69c655afe8b88190a4d9ba83126e71af completed March 27, 2026, 10:02 a.m.
NED2 Entity disambiguation (via description) batch_69c65613a30c81908c737122e1005290 completed March 27, 2026, 10:04 a.m.
Created at: March 22, 2026, 4:52 p.m.