Triple

T13434683
Position Surface form Disambiguated ID Type / Status
Subject To Die For E320198 entity
Predicate hasCharacter P2308 FINISHED
Object Russel Hines
Russel Hines is a fictional character in the darkly comedic crime film "To Die For."
E1047474 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: Russel Hines | Statement: [To Die For, hasCharacter, Russel Hines]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Russel Hines
Context triple: [To Die For, hasCharacter, Russel Hines]
  • A. Roy Hinson
    Roy Hinson is a former American professional basketball player and standout forward from Rutgers University who played several seasons in the NBA during the 1980s.
  • B. Manvel Smith
    Manvel Smith was an early settler and landowner in Texas after whom the city of Manvel was named.
  • C. Dennis Williams
    Dennis Williams is an American labor leader who served as president of the United Auto Workers union, representing autoworkers in contract negotiations and labor policy.
  • D. Melvin Edmonds
    Melvin Edmonds was an American R&B singer best known as a founding member of the group After 7.
  • E. Anthony Hines
    Anthony Hines is a British comedy writer and producer best known for his long-time collaboration with Sacha Baron Cohen on projects like Borat.
  • 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: Russel Hines
Triple: [To Die For, hasCharacter, Russel Hines]
Generated description
Russel Hines is a fictional character in the darkly comedic crime film "To Die For."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Russel Hines
Target entity description: Russel Hines is a fictional character in the darkly comedic crime film "To Die For."
  • A. Roy Hinson
    Roy Hinson is a former American professional basketball player and standout forward from Rutgers University who played several seasons in the NBA during the 1980s.
  • B. Manvel Smith
    Manvel Smith was an early settler and landowner in Texas after whom the city of Manvel was named.
  • C. Dennis Williams
    Dennis Williams is an American labor leader who served as president of the United Auto Workers union, representing autoworkers in contract negotiations and labor policy.
  • D. Melvin Edmonds
    Melvin Edmonds was an American R&B singer best known as a founding member of the group After 7.
  • E. Anthony Hines
    Anthony Hines is a British comedy writer and producer best known for his long-time collaboration with Sacha Baron Cohen on projects like Borat.
  • 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_69d80761e6cc8190a90c844589998ecc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaee29fec81908b07b4fca2922242 completed April 12, 2026, 2:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75d86d32c8190a1d9ce72e99426e2 completed May 3, 2026, 2:36 p.m.
NEDg Description generation batch_69f75fbb39848190beeae0e4c112510d completed May 3, 2026, 2:46 p.m.
NED2 Entity disambiguation (via description) batch_69f76049056c8190b77f8ca78c8f77a0 completed May 3, 2026, 2:48 p.m.
Created at: April 9, 2026, 9:40 p.m.