Triple

T18826450
Position Surface form Disambiguated ID Type / Status
Subject Monsieur Verdoux E460399 entity
Predicate castMember P1668 FINISHED
Object Allison Roddan
Allison Roddan is an actress known for appearing in Charlie Chaplin’s dark comedy film "Monsieur Verdoux."
E1376967 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: Allison Roddan | Statement: [Monsieur Verdoux, castMember, Allison Roddan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Allison Roddan
Context triple: [Monsieur Verdoux, castMember, Allison Roddan]
  • A. Larissa Howard
    Larissa Howard is known as the daughter of British military historian and politician Michael Howard.
  • B. Allison Adams
    Allison Adams is a fictional character played by American actress Jasmin Savoy Brown, known from the psychological drama series "The Leftovers."
  • C. Jennifer Tighe
    Jennifer Tighe is an American actress known for her work in television, film, and theater, and as the daughter of actor Kevin Tighe.
  • D. Kay Elizabeth Davies
    Kay Elizabeth Davies is a British human geneticist renowned for her pioneering research on the molecular basis of neuromuscular and neurological disorders, particularly Duchenne muscular dystrophy.
  • E. Alison O’Brien
    Alison O’Brien is a film producer known for her work on the 2019 animated adaptation of The Addams Family.
  • 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: Allison Roddan
Triple: [Monsieur Verdoux, castMember, Allison Roddan]
Generated description
Allison Roddan is an actress known for appearing in Charlie Chaplin’s dark comedy film "Monsieur Verdoux."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Allison Roddan
Target entity description: Allison Roddan is an actress known for appearing in Charlie Chaplin’s dark comedy film "Monsieur Verdoux."
  • A. Larissa Howard
    Larissa Howard is known as the daughter of British military historian and politician Michael Howard.
  • B. Allison Adams
    Allison Adams is a fictional character played by American actress Jasmin Savoy Brown, known from the psychological drama series "The Leftovers."
  • C. Jennifer Tighe
    Jennifer Tighe is an American actress known for her work in television, film, and theater, and as the daughter of actor Kevin Tighe.
  • D. Kay Elizabeth Davies
    Kay Elizabeth Davies is a British human geneticist renowned for her pioneering research on the molecular basis of neuromuscular and neurological disorders, particularly Duchenne muscular dystrophy.
  • E. Jennifer Naughton
    Jennifer Naughton is a local political leader who serves as the mayor of Spring Lake, New Jersey.
  • 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_69d8dcf94c288190a06dea029ae4b223 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5a6bec7b08190b040ec8b3693f037 completed April 20, 2026, 4:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a073b12c1c881908a0b6c056be81285 completed May 15, 2026, 3:26 p.m.
NEDg Description generation batch_6a073c19c3b88190a6114d272ebd5fbc completed May 15, 2026, 3:30 p.m.
NED2 Entity disambiguation (via description) batch_6a073d25ba448190a62777b68d2f3136 completed May 15, 2026, 3:35 p.m.
Created at: April 10, 2026, 11:56 a.m.