Triple

T19464569
Position Surface form Disambiguated ID Type / Status
Subject Mantrap (1926 film) E486958 entity
Predicate mainCharacter P1183 FINISHED
Object Alverna
Alverna is the central female protagonist in the 1926 silent drama film "Mantrap," best known as a flirtatious city woman whose presence disrupts life in a remote Canadian settlement.
 E1376897 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: Alverna | Statement: [Mantrap (1926 film), mainCharacter, Alverna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Alverna
Context triple: [Mantrap (1926 film), mainCharacter, Alverna]
  • A. Alverna
    Alverna is a village in the Dutch province of Gelderland that forms part of the municipality of Wijchen.
  • B. Eldora
    Eldora is a small city in central Iowa that serves as the county seat of Hardin County and lies along the scenic Iowa River.
  • C. Arlyn
    Arlyn is a feminine given name, sometimes used as a variant of Arlene or Arlen.
  • D. Armona
    Armona is a small unincorporated community located in California’s San Joaquin Valley.
  • E. Glenroy
    Glenroy is a residential suburb in Melbourne, Victoria, Australia, known for its diverse community and proximity to the city’s northwestern transport and commercial hubs.
  • 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: Alverna
Triple: [Mantrap (1926 film), mainCharacter, Alverna]
Generated description
Alverna is the central female protagonist in the 1926 silent drama film "Mantrap," best known as a flirtatious city woman whose presence disrupts life in a remote Canadian settlement.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Alverna
Target entity description: Alverna is the central female protagonist in the 1926 silent drama film "Mantrap," best known as a flirtatious city woman whose presence disrupts life in a remote Canadian settlement.
  • A. Alverna
    Alverna is a village in the Dutch province of Gelderland that forms part of the municipality of Wijchen.
  • B. Eldora
    Eldora is a small city in central Iowa that serves as the county seat of Hardin County and lies along the scenic Iowa River.
  • C. Arlyn
    Arlyn is a feminine given name, sometimes used as a variant of Arlene or Arlen.
  • D. Armona
    Armona is a small unincorporated community located in California’s San Joaquin Valley.
  • E. Glenroy
    Glenroy is a residential suburb in Melbourne, Victoria, Australia, known for its diverse community and proximity to the city’s northwestern transport and commercial hubs.
  • 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_69d8e8d86d608190bd199a98d0297f27 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e633d0fe3c8190b637f78bfad704d0 completed April 20, 2026, 2:10 p.m.
NED1 Entity disambiguation (via context triple) batch_6a073b3e3e88819090a307eeabc2a180 completed May 15, 2026, 3:26 p.m.
NEDg Description generation batch_6a073c0a02c8819080b0e71caf65e6fa completed May 15, 2026, 3:30 p.m.
NED2 Entity disambiguation (via description) batch_6a073d0e92d48190880317263fe6e481 completed May 15, 2026, 3:34 p.m.
Created at: April 10, 2026, 1:39 p.m.