Triple

T31563824
Position Surface form Disambiguated ID Type / Status
Subject Jean Harrington E805346 entity
Predicate aliasesInFilm P166014 FINISHED
Object Lady Eve Sidwich
Lady Eve Sidwich is the aristocratic alter ego adopted by the con artist Jean Harrington in the classic 1941 screwball comedy film "The Lady Eve."
 E1968380 NE FINISHED

How this triple was built (3 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: Lady Eve Sidwich | Statement: [Jean Harrington, aliasesInFilm, Lady Eve Sidwich]
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: Lady Eve Sidwich
Triple: [Jean Harrington, aliasesInFilm, Lady Eve Sidwich]
Generated description
Lady Eve Sidwich is the aristocratic alter ego adopted by the con artist Jean Harrington in the classic 1941 screwball comedy film "The Lady Eve."
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: aliasesInFilm
Context triple: [Jean Harrington, aliasesInFilm, Lady Eve Sidwich]
  • A. givenNameInFilm
    Indicates that a person is referred to by a particular given (first) name within the context of a specific film.
  • B. filmAssociatedWith
    Indicates a general relationship or connection between a film and another entity, such as a person, organization, event, or work.
  • C. bondActorInFilm
    Indicates that the person is an actor who has portrayed the character James Bond in a film.
  • D. placementInFilm
    Indicates the specific position or occurrence of something within the sequence or structure of a film.
  • E. alsoAppearsAs chosen
    Indicates that an entity is known or presented under an alternative name, form, or representation.
  • F. None of above.

Provenance (6 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_69f348d2ee94819091918d1789398c29 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6a8055f8081908f635fe04654b5fe completed May 3, 2026, 1:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2b2d979c34819098c464ee67f8c22c completed June 11, 2026, 9:50 p.m.
NEDg Description generation batch_6a2b4ad8c5488190b07d616fc101cbad completed June 11, 2026, 11:55 p.m.
NED2 Entity disambiguation (via description) batch_6a2b4e85f540819096d5a2540e07f702 completed June 12, 2026, 12:10 a.m.
PD Predicate disambiguation batch_69f6a75656e081908739ed9e2f600e42 completed May 3, 2026, 1:39 a.m.
Created at: April 30, 2026, 10:16 p.m.