Triple

T155707
Position Surface form Disambiguated ID Type / Status
Subject The Bodyguard E3174 entity
Predicate mainCharacter P1183 FINISHED
Object Rachel Marron
Rachel Marron is a famous pop singer and actress who becomes the client and love interest of a former Secret Service agent in the romantic thriller film "The Bodyguard."
 E75923 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: Rachel Marron | Statement: [The Bodyguard, mainCharacter, Rachel Marron]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rachel Marron
Context triple: [The Bodyguard, mainCharacter, Rachel Marron]
  • A. Margo Anderson
    Margo Anderson is best known as a former wife of American country music star Kenny Rogers.
  • B. Marianne Gordon
    Marianne Gordon is an American actress best known for her film and television work in the 1960s–1980s and for her former marriage to country music star Kenny Rogers.
  • C. Katherine Rogers
    Katherine Rogers was the mother of John Harvard, the English clergyman whose bequest helped found Harvard College in colonial Massachusetts.
  • D. Lisa Rogers
    Lisa Rogers is a member of the Rogers family, known as the daughter of Canadian businessman and media magnate Ted Rogers.
  • E. Lucille Sheardown
    Lucille Sheardown was one of the later wives of American inventor Lee de Forest, associated with his personal life rather than his pioneering work in radio and electronics.
  • 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: Rachel Marron
Triple: [The Bodyguard, mainCharacter, Rachel Marron]
Generated description
Rachel Marron is a famous pop singer and actress who becomes the client and love interest of a former Secret Service agent in the romantic thriller film "The Bodyguard."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rachel Marron
Target entity description: Rachel Marron is a famous pop singer and actress who becomes the client and love interest of a former Secret Service agent in the romantic thriller film "The Bodyguard."
  • A. Margo Anderson
    Margo Anderson is best known as a former wife of American country music star Kenny Rogers.
  • B. Marianne Gordon
    Marianne Gordon is an American actress best known for her film and television work in the 1960s–1980s and for her former marriage to country music star Kenny Rogers.
  • C. Katherine Rogers
    Katherine Rogers was the mother of John Harvard, the English clergyman whose bequest helped found Harvard College in colonial Massachusetts.
  • D. Lisa Rogers
    Lisa Rogers is a member of the Rogers family, known as the daughter of Canadian businessman and media magnate Ted Rogers.
  • E. Lucille Sheardown
    Lucille Sheardown was one of the later wives of American inventor Lee de Forest, associated with his personal life rather than his pioneering work in radio and electronics.
  • 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_69a2527757ec819090b8becb2cf1a862 completed Feb. 28, 2026, 2:27 a.m.
NER Named-entity recognition batch_69a2582eb6408190beb38213c7d7d968 completed Feb. 28, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69a5291da6c081908ebe0b83a8f3cfa0 completed March 2, 2026, 6:07 a.m.
NEDg Description generation batch_69a52a74bdc08190a4b5cf466d11d6b5 completed March 2, 2026, 6:13 a.m.
NED2 Entity disambiguation (via description) batch_69a52acd26948190b1110721f1a38d05 completed March 2, 2026, 6:14 a.m.
Created at: Feb. 28, 2026, 2:31 a.m.