Triple

T14191116
Position Surface form Disambiguated ID Type / Status
Subject Paid in Full (film) E351714 entity
Predicate mainCharacter P1183 FINISHED
Object Rico
Rico is a central character in the 2002 crime drama film "Paid in Full," depicted as an ambitious and volatile Harlem drug dealer.
 E1086494 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: Rico | Statement: [Paid in Full (film), mainCharacter, Rico]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rico
Context triple: [Paid in Full (film), mainCharacter, Rico]
  • A. Rico
    Rico is a character from the comedy film "Hot Rod," known as one of Rod Kimble’s eccentric stunt-team friends.
  • B. Rico
    Rico is the nickname of Rico Petrocelli, a former Major League Baseball shortstop and third baseman best known for his career with the Boston Red Sox in the 1960s and 1970s.
  • C. Rico
    Rico is the crazed, explosives-loving penguin from the animated franchise "Penguins of Madagascar," known for regurgitating tools and weapons on command.
  • D. Rico
    Rico is a small historic mining town in southwestern Colorado, known for its scenic location in the San Juan Mountains.
  • E. Rico
    Rico is a masculine given name of Spanish and Italian origin, often used as a short form of names like Ricardo or Enrico.
  • 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: Rico
Triple: [Paid in Full (film), mainCharacter, Rico]
Generated description
Rico is a central character in the 2002 crime drama film "Paid in Full," depicted as an ambitious and volatile Harlem drug dealer.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rico
Target entity description: Rico is a central character in the 2002 crime drama film "Paid in Full," depicted as an ambitious and volatile Harlem drug dealer.
  • A. Rico
    Rico is a character from the comedy film "Hot Rod," known as one of Rod Kimble’s eccentric stunt-team friends.
  • B. Rico
    Rico is the nickname of Rico Petrocelli, a former Major League Baseball shortstop and third baseman best known for his career with the Boston Red Sox in the 1960s and 1970s.
  • C. Rico
    Rico is the crazed, explosives-loving penguin from the animated franchise "Penguins of Madagascar," known for regurgitating tools and weapons on command.
  • D. Rico
    Rico is a small historic mining town in southwestern Colorado, known for its scenic location in the San Juan Mountains.
  • E. Rico
    Rico is a masculine given name of Spanish and Italian origin, often used as a short form of names like Ricardo or Enrico.
  • 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_69d827894ac0819097803e57f3227b23 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61df628c8190ba3f557e2128dce5 completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd1946eb68819096adf3c16a39818d completed May 7, 2026, 10:59 p.m.
NEDg Description generation batch_69fd1eed1008819088635be43fbb1439 completed May 7, 2026, 11:23 p.m.
NED2 Entity disambiguation (via description) batch_69fd1f7c5d208190bab5d57e931fd082 completed May 7, 2026, 11:25 p.m.
Created at: April 10, 2026, 1:04 a.m.