Triple

T13350688
Position Surface form Disambiguated ID Type / Status
Subject Wings of Desire E318060 entity
Predicate mainCharacter P1183 FINISHED
Object Marion
Marion is a trapeze artist in the German film "Wings of Desire," whose introspective, yearning character becomes central to the story’s exploration of love, loneliness, and human experience.
 E1034707 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: Marion | Statement: [Wings of Desire, mainCharacter, Marion]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Marion
Context triple: [Wings of Desire, mainCharacter, Marion]
  • A. Marion
    Marion is a given name used for people of any gender in various cultures, often as a variant of Mary or Marian.
  • B. Marion
    Marion is a neighborhood or village within the town of Southington, Connecticut, known as one of its local residential communities.
  • C. Marion
    Marion is a small historic city in central Alabama known for its role in the civil rights movement and as the home of several longstanding educational institutions.
  • D. Marion
    Marion is a small coastal town in southeastern Massachusetts known for its maritime heritage and picturesque New England character.
  • E. Marion
    Marion is a growing suburban city in eastern Iowa, located near Cedar Rapids and known for its family-friendly neighborhoods and community events.
  • 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: Marion
Triple: [Wings of Desire, mainCharacter, Marion]
Generated description
Marion is a trapeze artist in the German film "Wings of Desire," whose introspective, yearning character becomes central to the story’s exploration of love, loneliness, and human experience.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Marion
Target entity description: Marion is a trapeze artist in the German film "Wings of Desire," whose introspective, yearning character becomes central to the story’s exploration of love, loneliness, and human experience.
  • A. Marion
    Marion is a given name used for people of any gender in various cultures, often as a variant of Mary or Marian.
  • B. Marion
    Marion is a small coastal town in southeastern Massachusetts known for its maritime heritage and picturesque New England character.
  • C. Marion
    Marion is a growing suburban city in eastern Iowa, located near Cedar Rapids and known for its family-friendly neighborhoods and community events.
  • D. Marion
    Marion is a neighborhood or village within the town of Southington, Connecticut, known as one of its local residential communities.
  • E. Marion
    Marion is a small historic city in central Alabama known for its role in the civil rights movement and as the home of several longstanding educational institutions.
  • 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_69d806b5a3c08190b42c267fb092f98a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99e8c2f1c819094f0970f35f18afa completed April 11, 2026, 1:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69f71f47fd7c8190b8d98a181acd7710 completed May 3, 2026, 10:11 a.m.
NEDg Description generation batch_69f7204b6f108190bca6a0140620e03e completed May 3, 2026, 10:15 a.m.
NED2 Entity disambiguation (via description) batch_69f720fbf0bc81908c68cf2844938e45 completed May 3, 2026, 10:18 a.m.
Created at: April 9, 2026, 9:31 p.m.