Triple

T20161792
Position Surface form Disambiguated ID Type / Status
Subject David City, Nebraska E491723 entity
Predicate namedFor P63 FINISHED
Object David Butler
David Butler was a 19th-century American politician who served as the first governor of the state of Nebraska.
E1417382 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: David Butler | Statement: [David City, Nebraska, namedFor, David Butler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Butler
Context triple: [David City, Nebraska, namedFor, David Butler]
  • A. David Butler
    David Butler was an American film director and actor best known for his work on classic Hollywood comedies and musicals from the 1930s to the 1950s.
  • B. David Butler
    David Butler is an actor known for his role in the television series "Seventh Heaven."
  • C. David Bartis
    David Bartis is an American television and film producer known for his work on series such as Covert Affairs and his long-time collaboration with director Doug Liman.
  • D. David Pegg
    David Pegg was an English footballer who played as a left winger for Manchester United's famed "Busby Babes" before his life was tragically cut short in the Munich air disaster of 1958.
  • E. Roger Butlin
    Roger Butlin is an evolutionary biologist known for his research on speciation and the genetic basis of reproductive isolation in natural populations.
  • 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: David Butler
Triple: [David City, Nebraska, namedFor, David Butler]
Generated description
David Butler was a 19th-century American politician who served as the first governor of the state of Nebraska.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: David Butler
Target entity description: David Butler was a 19th-century American politician who served as the first governor of the state of Nebraska.
  • A. David Butler
    David Butler was an American film director and actor best known for his work on classic Hollywood comedies and musicals from the 1930s to the 1950s.
  • B. David Butler
    David Butler is an actor known for his role in the television series "Seventh Heaven."
  • C. David Bartis
    David Bartis is an American television and film producer known for his work on series such as Covert Affairs and his long-time collaboration with director Doug Liman.
  • D. David Pegg
    David Pegg was an English footballer who played as a left winger for Manchester United's famed "Busby Babes" before his life was tragically cut short in the Munich air disaster of 1958.
  • E. Roger Butlin
    Roger Butlin is an evolutionary biologist known for his research on speciation and the genetic basis of reproductive isolation in natural populations.
  • 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_69da6266c6888190bc1a3ecf24814d34 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e667e505888190a05e26a3c5a0ede1 completed April 20, 2026, 5:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0843dc55b081909df320e335066a55 completed May 16, 2026, 10:15 a.m.
NEDg Description generation batch_6a0844a1f6988190bbab91201b2a0d7e completed May 16, 2026, 10:19 a.m.
NED2 Entity disambiguation (via description) batch_6a0845700ec48190bb59acff92e4e616 completed May 16, 2026, 10:22 a.m.
Created at: April 11, 2026, 11:34 p.m.