Triple

T2173136
Position Surface form Disambiguated ID Type / Status
Subject Mean Streets E48467 entity
Predicate mainCharacter P1183 FINISHED
Object Charlie Cappa
Charlie Cappa is the conflicted small-time hood and devout yet morally torn protagonist of Martin Scorsese’s crime drama film "Mean Streets."
 E248769 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: Charlie Cappa | Statement: [Mean Streets, mainCharacter, Charlie Cappa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Charlie Cappa
Context triple: [Mean Streets, mainCharacter, Charlie Cappa]
  • A. Ray Cusick
    Ray Cusick was a British designer best known for creating the iconic look of the Daleks in the long-running science fiction television series Doctor Who.
  • B. John Cassisi
    John Cassisi is an American former child actor best known for playing the mob boss Fat Sam in the 1976 musical gangster film "Bugsy Malone."
  • C. Lenny Venito
    Lenny Venito is an American character actor known for his supporting roles in film and television, often playing tough, streetwise, or comedic New Yorker types.
  • D. Tom Lofaro
    Tom Lofaro is a television producer best known for his executive production work on the long-running comedy series "It's Always Sunny in Philadelphia."
  • E. Ed McCauley
    Ed McCauley is a Canadian academic and research leader who serves as president of the University of Calgary.
  • 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: Charlie Cappa
Triple: [Mean Streets, mainCharacter, Charlie Cappa]
Generated description
Charlie Cappa is the conflicted small-time hood and devout yet morally torn protagonist of Martin Scorsese’s crime drama film "Mean Streets."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Charlie Cappa
Target entity description: Charlie Cappa is the conflicted small-time hood and devout yet morally torn protagonist of Martin Scorsese’s crime drama film "Mean Streets."
  • A. Ray Cusick
    Ray Cusick was a British designer best known for creating the iconic look of the Daleks in the long-running science fiction television series Doctor Who.
  • B. John Cassisi
    John Cassisi is an American former child actor best known for playing the mob boss Fat Sam in the 1976 musical gangster film "Bugsy Malone."
  • C. Lenny Venito
    Lenny Venito is an American character actor known for his supporting roles in film and television, often playing tough, streetwise, or comedic New Yorker types.
  • D. Tom Lofaro
    Tom Lofaro is a television producer best known for his executive production work on the long-running comedy series "It's Always Sunny in Philadelphia."
  • E. Ed McCauley
    Ed McCauley is a Canadian academic and research leader who serves as president of the University of Calgary.
  • 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_69a88aa3faa48190995b233af6525815 completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abbecb97a48190834e3e536184bbd1 completed March 7, 2026, 5:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6af04e908190a8eaee7500e0b1af completed March 9, 2026, 6:38 a.m.
NEDg Description generation batch_69ae6b9da51c819085beb79a14f5d8b5 completed March 9, 2026, 6:41 a.m.
NED2 Entity disambiguation (via description) batch_69ae6c2a465c8190a9fe2a465e9ac3f0 completed March 9, 2026, 6:43 a.m.
Created at: March 4, 2026, 7:45 p.m.