Triple

T2651420
Position Surface form Disambiguated ID Type / Status
Subject Bleak House (2005 TV serial) E53906 entity
Predicate stars P1956 FINISHED
Object Lilo Baur
Lilo Baur is a Swiss actress and theatre director known for her work in European film, television, and stage productions.
E285858 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: Lilo Baur | Statement: [Bleak House (2005 TV serial), stars, Lilo Baur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lilo Baur
Context triple: [Bleak House (2005 TV serial), stars, Lilo Baur]
  • A. Aulani
    Aulani is a Disney-operated Hawaiian resort and spa that blends family-friendly entertainment with local Hawaiian culture and storytelling.
  • B. Eva Leale
    Eva Leale was the wife of American composer Jerome Kern, known primarily for her long marriage to the influential songwriter behind classics like "Ol' Man River" and "The Way You Look Tonight."
  • C. Lili
    Lili is a 1953 musical fantasy film starring Leslie Caron as a naive orphan who joins a carnival and forms a touching bond with a puppeteer.
  • D. Karin
    Karin is a feminine given name used in various cultures, often considered a variant of names like Karen or Katherine.
  • E. Ellen
    "Ellen" is an American television sitcom starring Ellen DeGeneres that became especially notable for its groundbreaking coming-out episode in the 1990s.
  • 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: Lilo Baur
Triple: [Bleak House (2005 TV serial), stars, Lilo Baur]
Generated description
Lilo Baur is a Swiss actress and theatre director known for her work in European film, television, and stage productions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lilo Baur
Target entity description: Lilo Baur is a Swiss actress and theatre director known for her work in European film, television, and stage productions.
  • A. Aulani
    Aulani is a Disney-operated Hawaiian resort and spa that blends family-friendly entertainment with local Hawaiian culture and storytelling.
  • B. Eva Leale
    Eva Leale was the wife of American composer Jerome Kern, known primarily for her long marriage to the influential songwriter behind classics like "Ol' Man River" and "The Way You Look Tonight."
  • C. Lili
    Lili is a 1953 musical fantasy film starring Leslie Caron as a naive orphan who joins a carnival and forms a touching bond with a puppeteer.
  • D. Karin
    Karin is a feminine given name used in various cultures, often considered a variant of names like Karen or Katherine.
  • E. Ellen
    "Ellen" is an American television sitcom starring Ellen DeGeneres that became especially notable for its groundbreaking coming-out episode in the 1990s.
  • 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_69ab495e192081909c77b622e8e7e15a completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd93071248190820197936e3167f7 completed March 7, 2026, 7:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69af98ce81fc8190b7c6c66acfcb87c7 completed March 10, 2026, 4:06 a.m.
NEDg Description generation batch_69af99416924819099d4acb1a2d60e0c completed March 10, 2026, 4:08 a.m.
NED2 Entity disambiguation (via description) batch_69af99adadb08190a44f2286b25bf0aa completed March 10, 2026, 4:10 a.m.
Created at: March 6, 2026, 9:53 p.m.