Triple

T16229402
Position Surface form Disambiguated ID Type / Status
Subject The Rig E393938 entity
Predicate portrayedBy P1507 FINISHED
Object Molly Vevers
Molly Vevers is a British actress known for her work in television and theatre, including a role in the supernatural thriller series "The Rig."
 E1200921 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: Molly Vevers | Statement: [The Rig, portrayedBy, Molly Vevers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Molly Vevers
Context triple: [The Rig, portrayedBy, Molly Vevers]
  • A. Molly Ranson
    Molly Ranson is an American stage and screen actress known for her work in contemporary theater and television.
  • B. Elizabeth Maddern
    Elizabeth Maddern was the first wife of American writer Jack London (born John Griffith Chaney), married to him before his rise to literary fame.
  • C. Martine Beswick
    Martine Beswick is a Jamaican-British actress best known for her roles in 1960s James Bond films and various cult horror and genre movies.
  • D. Molly Norton
    Molly Norton is a member of the Norton family and the sister of American actor and filmmaker Edward Norton.
  • E. Wendy Molyneux
    Wendy Molyneux is an American television writer, producer, and showrunner best known for her work on animated comedies such as Bob’s Burgers and The Great North.
  • 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: Molly Vevers
Triple: [The Rig, portrayedBy, Molly Vevers]
Generated description
Molly Vevers is a British actress known for her work in television and theatre, including a role in the supernatural thriller series "The Rig."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Molly Vevers
Target entity description: Molly Vevers is a British actress known for her work in television and theatre, including a role in the supernatural thriller series "The Rig."
  • A. Molly Ranson
    Molly Ranson is an American stage and screen actress known for her work in contemporary theater and television.
  • B. Elizabeth Maddern
    Elizabeth Maddern was the first wife of American writer Jack London (born John Griffith Chaney), married to him before his rise to literary fame.
  • C. Martine Beswick
    Martine Beswick is a Jamaican-British actress best known for her roles in 1960s James Bond films and various cult horror and genre movies.
  • D. Molly Norton
    Molly Norton is a member of the Norton family and the sister of American actor and filmmaker Edward Norton.
  • E. Wendy Molyneux
    Wendy Molyneux is an American television writer, producer, and showrunner best known for her work on animated comedies such as Bob’s Burgers and The Great North.
  • 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_69d87f204df88190a8f88923decf9835 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e23d2889688190ac04e4e9479cabf4 completed April 17, 2026, 2:01 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00079e83f08190a260751fd8b55eef completed May 10, 2026, 4:20 a.m.
NEDg Description generation batch_6a00089a498c819092685d13f975e7cd completed May 10, 2026, 4:24 a.m.
NED2 Entity disambiguation (via description) batch_6a0009042b288190b3a756354c04dfd3 completed May 10, 2026, 4:26 a.m.
Created at: April 10, 2026, 5:03 a.m.