Triple

T13716525
Position Surface form Disambiguated ID Type / Status
Subject Innocent Lies E328913 entity
Predicate hasCastMember P2308 FINISHED
Object Marianne Basler
Marianne Basler is a French actress known for her work in European cinema and television since the 1980s.
E1068191 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: Marianne Basler | Statement: [Innocent Lies, hasCastMember, Marianne Basler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marianne Basler
Context triple: [Innocent Lies, hasCastMember, Marianne Basler]
  • A. Marianne Ehrlich
    Marianne Ehrlich was the daughter of Nobel Prize–winning German physician and immunologist Paul Ehrlich.
  • B. Marianne Sägebrecht
    Marianne Sägebrecht is a German actress known for her distinctive character roles in films such as "Sugarbaby" and "Bagdad Café."
  • C. Marianne Koch
    Marianne Koch is a German actress and television host best known internationally for her role in Sergio Leone’s classic Spaghetti Western "A Fistful of Dollars."
  • D. Marianne Willisch
    Marianne Willisch is an artist and designer associated with the New Bauhaus movement in Chicago.
  • E. Marianne Tromlitz
    Marianne Tromlitz was the mother of the renowned Romantic-era pianist and composer Clara Schumann.
  • 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: Marianne Basler
Triple: [Innocent Lies, hasCastMember, Marianne Basler]
Generated description
Marianne Basler is a French actress known for her work in European cinema and television since the 1980s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Marianne Basler
Target entity description: Marianne Basler is a French actress known for her work in European cinema and television since the 1980s.
  • A. Marianne Ehrlich
    Marianne Ehrlich was the daughter of Nobel Prize–winning German physician and immunologist Paul Ehrlich.
  • B. Marianne Sägebrecht
    Marianne Sägebrecht is a German actress known for her distinctive character roles in films such as "Sugarbaby" and "Bagdad Café."
  • C. Marianne Koch
    Marianne Koch is a German actress and television host best known internationally for her role in Sergio Leone’s classic Spaghetti Western "A Fistful of Dollars."
  • D. Marianne Willisch
    Marianne Willisch is an artist and designer associated with the New Bauhaus movement in Chicago.
  • E. Marianne Tromlitz
    Marianne Tromlitz was the mother of the renowned Romantic-era pianist and composer Clara Schumann.
  • 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_69d80770b9bc81909f70c8c317d53cff completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dd4398f0448190810c840a82228706 completed April 13, 2026, 7:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7c6fcddf08190bee3dce22be39a34 completed May 3, 2026, 10:06 p.m.
NEDg Description generation batch_69f7c93a3d0c8190a6417f0db54119f5 completed May 3, 2026, 10:16 p.m.
NED2 Entity disambiguation (via description) batch_69f7c9b2930c8190983f2c55a0dd35f6 completed May 3, 2026, 10:18 p.m.
Created at: April 9, 2026, 9:54 p.m.