Triple

T16856183
Position Surface form Disambiguated ID Type / Status
Subject Why Mira Can’t Go Back to Her Old House E409788 entity
Predicate hasTitleCharacter P5716 FINISHED
Object Mira
Mira is the central character in the story "Why Mira Can’t Go Back to Her Old House," around whom the plot’s emotional and narrative conflicts revolve.
 E1236360 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: Mira | Statement: [Why Mira Can’t Go Back to Her Old House, hasTitleCharacter, Mira]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mira
Context triple: [Why Mira Can’t Go Back to Her Old House, hasTitleCharacter, Mira]
  • A. Mira
    Mira is a small town in northern Ecuador’s Carchi Province, known for its Andean setting and agricultural surroundings.
  • B. Mira
    Mira is a coastal municipality in central Portugal known for its beaches, lagoons, and natural landscapes.
  • C. Mira
    Mira is a town in the Veneto region of northern Italy, situated along the Brenta Canal between Venice and Padua and known for its historic Venetian villas.
  • D. Mira
    Mira is a famous red giant variable star in the constellation Cetus, known for its dramatic changes in brightness over time.
  • E. Mira
    Mira is a 1971 Belgian-Dutch drama film directed by Fons Rademakers, based on Stijn Streuvels’ novel "De Teleurgang van den Waterhoek."
  • 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: Mira
Triple: [Why Mira Can’t Go Back to Her Old House, hasTitleCharacter, Mira]
Generated description
Mira is the central character in the story "Why Mira Can’t Go Back to Her Old House," around whom the plot’s emotional and narrative conflicts revolve.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mira
Target entity description: Mira is the central character in the story "Why Mira Can’t Go Back to Her Old House," around whom the plot’s emotional and narrative conflicts revolve.
  • A. Mira
    Mira is the courageous female warrior and key protagonist in the historical action film "The Last Legion."
  • B. Mira
    Mira is a famous red giant variable star in the constellation Cetus, known for its dramatic changes in brightness over time.
  • C. Mira
    Mira is a 1971 Belgian-Dutch drama film directed by Fons Rademakers, based on Stijn Streuvels’ novel "De Teleurgang van den Waterhoek."
  • D. Mira
    Mira is a small town in northern Ecuador’s Carchi Province, known for its Andean setting and agricultural surroundings.
  • E. Mira
    Mira is a coastal municipality in central Portugal known for its beaches, lagoons, and natural landscapes.
  • 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_69d88395e6c88190b22730f335107c14 completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b37d69a08190af18b421066f44f1 completed April 18, 2026, 4:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00bb2337348190ae79dc4b188c94cf completed May 10, 2026, 5:06 p.m.
NEDg Description generation batch_6a00bbe7e4c4819081d0bfd1ac427c49 completed May 10, 2026, 5:10 p.m.
NED2 Entity disambiguation (via description) batch_6a00bc73e4e88190a8327ba48174f923 completed May 10, 2026, 5:12 p.m.
Created at: April 10, 2026, 5:24 a.m.