Triple

T14640553
Position Surface form Disambiguated ID Type / Status
Subject After the Sunset E343708 entity
Predicate mainCharacter P1183 FINISHED
Object Lola Cirillo
Lola Cirillo is a key character in the heist film "After the Sunset," involved in the high-stakes world of jewel thieves and international crime.
 E1306264 NE FINISHED

How this triple was built (3 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.

NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lola Cirillo
Context triple: [After the Sunset, mainCharacter, Lola Cirillo]
  • A. Lorraine Vélez
    Lorraine Vélez is an American actress and singer known for her work in musical theatre and television, including roles in productions like "Rent" and various stage and screen performances.
  • B. Lucia Villanueva
    Lucia Villanueva is a central character in the crime drama series "Snowfall," depicted as a savvy and ambitious figure deeply entangled in the Los Angeles drug trade of the 1980s.
  • C. Feby Torres
    Feby Torres is a reality television personality best known for appearing as a cast member on the VH1 series "Basketball Wives."
  • D. Celine Gonzales
    Celine Gonzales is a recurring character on the television drama "The Haves and the Have Nots," known for her involvement in the complex personal and social conflicts among the show's central families.
  • E. Camile Velasco
    Camile Velasco is a Filipino-American singer who gained national recognition as a finalist on the third season of the television talent show American Idol.
  • 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: Lola Cirillo
Triple: [After the Sunset, mainCharacter, Lola Cirillo]
Generated description
Lola Cirillo is a key character in the heist film "After the Sunset," involved in the high-stakes world of jewel thieves and international crime.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lola Cirillo
Target entity description: Lola Cirillo is a key character in the heist film "After the Sunset," involved in the high-stakes world of jewel thieves and international crime.
  • A. Lorraine Vélez
    Lorraine Vélez is an American actress and singer known for her work in musical theatre and television, including roles in productions like "Rent" and various stage and screen performances.
  • B. Lucia Villanueva
    Lucia Villanueva is a central character in the crime drama series "Snowfall," depicted as a savvy and ambitious figure deeply entangled in the Los Angeles drug trade of the 1980s.
  • C. Feby Torres
    Feby Torres is a reality television personality best known for appearing as a cast member on the VH1 series "Basketball Wives."
  • D. Celine Gonzales
    Celine Gonzales is a recurring character on the television drama "The Haves and the Have Nots," known for her involvement in the complex personal and social conflicts among the show's central families.
  • E. Camile Velasco
    Camile Velasco is a Filipino-American singer who gained national recognition as a finalist on the third season of the television talent show American Idol.
  • F. None of above. chosen

Provenance (4 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_69d822e1a2cc81908e5bb93cf61ce3cc completed April 9, 2026, 10:06 p.m.
NED1 Entity disambiguation (via context triple) batch_6a037c1ca5408190ba46c0ce5515062a completed May 12, 2026, 7:14 p.m.
NEDg Description generation batch_6a037ca6f5888190b0ed34777aae862f completed May 12, 2026, 7:16 p.m.
NED2 Entity disambiguation (via description) batch_6a037d319be48190b01a1b8d1f239078 completed May 12, 2026, 7:19 p.m.
Created at: April 10, 2026, 1:26 a.m.