Triple

T8685130
Position Surface form Disambiguated ID Type / Status
Subject Christmas in Connecticut E206137 entity
Predicate mainCharacter P1183 FINISHED
Object Elizabeth Lane
Elizabeth Lane is the witty, city-dwelling magazine writer who pretends to be a domestic homemaker in the classic holiday film "Christmas in Connecticut."
 E751315 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: Elizabeth Lane | Statement: [Christmas in Connecticut, mainCharacter, Elizabeth Lane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Elizabeth Lane
Context triple: [Christmas in Connecticut, mainCharacter, Elizabeth Lane]
  • A. Jane Lane
    Jane Lane is a fictional, sardonic high school student and aspiring artist from the animated television series "Daria."
  • B. Rosemary Lane
    Rosemary Lane was an American actress and singer best known as one of the Lane Sisters, who appeared in several popular Hollywood films of the 1930s and 1940s.
  • C. Ella Lane
    Ella Lane is a supporting character in the Superman/DC Comics universe, best known as the mother of reporter Lois Lane.
  • D. Nanny Lane
    Nanny Lane is a popular walking track in the Lake District, England, often used as a scenic route for hikers ascending nearby fells.
  • E. Queen’s Lane
    Queen’s Lane is a historic street in central Oxford, England, known for running between several university colleges and preserving much of the city’s medieval character.
  • 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: Elizabeth Lane
Triple: [Christmas in Connecticut, mainCharacter, Elizabeth Lane]
Generated description
Elizabeth Lane is the witty, city-dwelling magazine writer who pretends to be a domestic homemaker in the classic holiday film "Christmas in Connecticut."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Elizabeth Lane
Target entity description: Elizabeth Lane is the witty, city-dwelling magazine writer who pretends to be a domestic homemaker in the classic holiday film "Christmas in Connecticut."
  • A. Jane Lane
    Jane Lane is a fictional, sardonic high school student and aspiring artist from the animated television series "Daria."
  • B. Rosemary Lane
    Rosemary Lane was an American actress and singer best known as one of the Lane Sisters, who appeared in several popular Hollywood films of the 1930s and 1940s.
  • C. Ella Lane
    Ella Lane is a supporting character in the Superman/DC Comics universe, best known as the mother of reporter Lois Lane.
  • D. Nanny Lane
    Nanny Lane is a popular walking track in the Lake District, England, often used as a scenic route for hikers ascending nearby fells.
  • E. Queen’s Lane
    Queen’s Lane is a historic street in central Oxford, England, known for running between several university colleges and preserving much of the city’s medieval character.
  • 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_69ca835379688190aa06b9d98e684d58 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc4aeae740819099093906ccc5f640 completed March 31, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69cef3cd888c81909fb1ece99988db36 completed April 2, 2026, 10:55 p.m.
NEDg Description generation batch_69cef521010081908815779c0bd2aac9 completed April 2, 2026, 11 p.m.
NED2 Entity disambiguation (via description) batch_69cef727ea088190bf40eaf5424ae864 completed April 2, 2026, 11:09 p.m.
Created at: March 30, 2026, 6:32 p.m.