Triple

T16095991
Position Surface form Disambiguated ID Type / Status
Subject Bullets or Ballots E390485 entity
Predicate featuresCharacter P626 FINISHED
Object Bugs Fenner
Bugs Fenner is a fictional gangster character from the 1936 crime film "Bullets or Ballots."
E1193932 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: Bugs Fenner | Statement: [Bullets or Ballots, featuresCharacter, Bugs Fenner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bugs Fenner
Context triple: [Bullets or Ballots, featuresCharacter, Bugs Fenner]
  • A. Jack Purvis
    Jack Purvis was a British dwarf actor best known for his roles in several Terry Gilliam films and the original Star Wars trilogy.
  • B. George Rooke
    George Rooke was a prominent English admiral of the late 17th and early 18th centuries, noted for his leadership in major naval engagements of the War of the Spanish Succession.
  • C. John Fagan
    John Fagan is a notable individual distinguished enough to be specifically recognized as a prominent bearer of the surname Fagan.
  • D. Rex Battarbee
    Rex Battarbee was an Australian artist and art teacher best known for fostering and promoting the Hermannsburg watercolour movement, particularly through his mentorship of Aboriginal painter Albert Namatjira.
  • E. Bernard Gribble
    Bernard Gribble was a British film editor known for his work on numerous feature films and television productions from the mid-20th century onward.
  • 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: Bugs Fenner
Triple: [Bullets or Ballots, featuresCharacter, Bugs Fenner]
Generated description
Bugs Fenner is a fictional gangster character from the 1936 crime film "Bullets or Ballots."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bugs Fenner
Target entity description: Bugs Fenner is a fictional gangster character from the 1936 crime film "Bullets or Ballots."
  • A. Jack Purvis
    Jack Purvis was a British dwarf actor best known for his roles in several Terry Gilliam films and the original Star Wars trilogy.
  • B. George Rooke
    George Rooke was a prominent English admiral of the late 17th and early 18th centuries, noted for his leadership in major naval engagements of the War of the Spanish Succession.
  • C. John Fagan
    John Fagan is a notable individual distinguished enough to be specifically recognized as a prominent bearer of the surname Fagan.
  • D. Rex Battarbee
    Rex Battarbee was an Australian artist and art teacher best known for fostering and promoting the Hermannsburg watercolour movement, particularly through his mentorship of Aboriginal painter Albert Namatjira.
  • E. Bernard Gribble
    Bernard Gribble was a British film editor known for his work on numerous feature films and television productions from the mid-20th century onward.
  • 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_69d87f198bc48190a8b7e53ca15b7ead completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e18593d0fc8190aa3ba3edb4219aaa completed April 17, 2026, 12:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffeb991ba88190ad568a49069f9701 completed May 10, 2026, 2:21 a.m.
NEDg Description generation batch_69ffec4898088190bed531e33418c7e5 completed May 10, 2026, 2:24 a.m.
NED2 Entity disambiguation (via description) batch_69ffecce96508190a53f100e3207ebac completed May 10, 2026, 2:26 a.m.
Created at: April 10, 2026, 4:59 a.m.