Triple

T10465556
Position Surface form Disambiguated ID Type / Status
Subject Juliet, Naked E246784 entity
Predicate stars P1956 FINISHED
Object Megan Dodds
Megan Dodds is an American actress known for her work in film, television, and theatre, including roles in projects like "Ever After," "Spooks," and various stage productions in London’s West End.
 E885096 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: Megan Dodds | Statement: [Juliet, Naked, stars, Megan Dodds]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Megan Dodds
Context triple: [Juliet, Naked, stars, Megan Dodds]
  • A. Megan Morgan
    Megan Morgan is a character from the 1988 sci-fi horror comedy film "Critters 2: The Main Course."
  • B. Megan Brock
    Megan Brock is a character in John Grisham’s legal thriller "The Street Lawyer," involved in the novel’s exploration of homelessness, justice, and moral responsibility.
  • C. Megan Everett
    Megan Everett is a writer and producer best known as the wife of Swedish actor Stellan Skarsgård.
  • D. Megan Howell
    Megan Howell is a person notable enough to be specifically referenced by name, though no widely recognized public information about her is provided in this context.
  • E. Megan Foster
    Megan Foster is an American local government leader serving as the mayor of Coralville, Iowa.
  • 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: Megan Dodds
Triple: [Juliet, Naked, stars, Megan Dodds]
Generated description
Megan Dodds is an American actress known for her work in film, television, and theatre, including roles in projects like "Ever After," "Spooks," and various stage productions in London’s West End.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Megan Dodds
Target entity description: Megan Dodds is an American actress known for her work in film, television, and theatre, including roles in projects like "Ever After," "Spooks," and various stage productions in London’s West End.
  • A. Megan Morgan
    Megan Morgan is a character from the 1988 sci-fi horror comedy film "Critters 2: The Main Course."
  • B. Megan Brock
    Megan Brock is a character in John Grisham’s legal thriller "The Street Lawyer," involved in the novel’s exploration of homelessness, justice, and moral responsibility.
  • C. Megan Everett
    Megan Everett is a writer and producer best known as the wife of Swedish actor Stellan Skarsgård.
  • D. Megan Howell
    Megan Howell is a person notable enough to be specifically referenced by name, though no widely recognized public information about her is provided in this context.
  • E. Megan Foster
    Megan Foster is an American local government leader serving as the mayor of Coralville, Iowa.
  • 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_69d381c16c248190a2fe5b471e584e9c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5092d6d408190b6bda4d7ced4601e completed April 7, 2026, 1:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69de54d83e44819097abf6714bd48680 completed April 14, 2026, 2:53 p.m.
NEDg Description generation batch_69de5952f6c48190abd3b87372d54f58 completed April 14, 2026, 3:12 p.m.
NED2 Entity disambiguation (via description) batch_69de5ed49c9c8190a4085407f88d7a05 completed April 14, 2026, 3:35 p.m.
Created at: April 6, 2026, 12:19 p.m.