Triple

T11157698
Position Surface form Disambiguated ID Type / Status
Subject The Man from Elysian Fields E263952 entity
Predicate character P662 FINISHED
Object Andrea
Andrea is a character in the drama film "The Man from Elysian Fields," involved in the story’s exploration of relationships, morality, and the escort business.
 E909141 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: Andrea | Statement: [The Man from Elysian Fields, character, Andrea]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Andrea
Context triple: [The Man from Elysian Fields, character, Andrea]
  • A. Andrea
    Andrea is the given name of the influential Italian Renaissance architect Andrea Palladio, whose classical designs shaped Western architecture.
  • B. Andrea
    Andrea is the given first name of American actress Drea de Matteo, known for her role as Adriana La Cerva on the television series "The Sopranos."
  • C. Alessandra
    Alessandra is an Italian politician, former actress, and granddaughter of Benito Mussolini.
  • D. Alessandra
    Alessandra is an Italian given name, the feminine form of Alessandro, equivalent to Alexandra in English.
  • E. Rachele
    Rachele is an Italian given name, notably borne by Rachele Mussolini, the wife of dictator Benito Mussolini.
  • 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: Andrea
Triple: [The Man from Elysian Fields, character, Andrea]
Generated description
Andrea is a character in the drama film "The Man from Elysian Fields," involved in the story’s exploration of relationships, morality, and the escort business.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Andrea
Target entity description: Andrea is a character in the drama film "The Man from Elysian Fields," involved in the story’s exploration of relationships, morality, and the escort business.
  • A. Andrea
    Andrea is the given name of the influential Italian Renaissance architect Andrea Palladio, whose classical designs shaped Western architecture.
  • B. Andrea
    Andrea is the given first name of American actress Drea de Matteo, known for her role as Adriana La Cerva on the television series "The Sopranos."
  • C. Alessandra
    Alessandra is an Italian politician, former actress, and granddaughter of Benito Mussolini.
  • D. Alessandra
    Alessandra is an Italian given name, the feminine form of Alessandro, equivalent to Alexandra in English.
  • E. Rachele
    Rachele is an Italian given name, notably borne by Rachele Mussolini, the wife of dictator Benito Mussolini.
  • 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_69d6aa9ccddc8190868998c8b7beb060 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e87fe9a881909540ecc4ed9b6b9f completed April 9, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69e46352e0688190924f15bc7d7ede90 completed April 19, 2026, 5:08 a.m.
NEDg Description generation batch_69e46c374ca08190a876ee68dea9b821 completed April 19, 2026, 5:46 a.m.
NED2 Entity disambiguation (via description) batch_69e4747bc02c81908f0782cf85667f3f completed April 19, 2026, 6:21 a.m.
Created at: April 8, 2026, 9:28 p.m.