Triple

T17672775
Position Surface form Disambiguated ID Type / Status
Subject Lene E440566 entity
Predicate shortFormOf P43 FINISHED
Object Marlene
Marlene is a feminine given name of German origin, often considered a blend of Maria and Magdalene and associated with figures like actress Marlene Dietrich.
 E1280955 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: Marlene | Statement: [Lene, shortFormOf, Marlene]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Marlene
Context triple: [Lene, shortFormOf, Marlene]
  • A. Marlene
    Marlene is a German biographical film directed by Joseph Vilsmaier about the life and career of actress and singer Marlene Dietrich.
  • B. Marlene
    Marlene is an energetic and friendly otter who appears as a main supporting character in the animated series "The Penguins of Madagascar."
  • C. Marlene
    Marlene is the ambitious, career-driven protagonist of Caryl Churchill’s play "Top Girls," whose life embodies the tensions between feminism, success, and personal sacrifice.
  • D. Audrey
    Audrey is the sweet but beleaguered love interest and florist’s assistant in the horror-comedy musical "Little Shop of Horrors."
  • E. Audrey
    Audrey is a simple, rustic shepherdess who serves as a comic character in William Shakespeare’s pastoral comedy "As You Like It."
  • 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: Marlene
Triple: [Lene, shortFormOf, Marlene]
Generated description
Marlene is a feminine given name of German origin, often considered a blend of Maria and Magdalene and associated with figures like actress Marlene Dietrich.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Marlene
Target entity description: Marlene is a feminine given name of German origin, often considered a blend of Maria and Magdalene and associated with figures like actress Marlene Dietrich.
  • A. Marlene
    Marlene is a German biographical film directed by Joseph Vilsmaier about the life and career of actress and singer Marlene Dietrich.
  • B. Marlene
    Marlene is an energetic and friendly otter who appears as a main supporting character in the animated series "The Penguins of Madagascar."
  • C. Marlene
    Marlene is the ambitious, career-driven protagonist of Caryl Churchill’s play "Top Girls," whose life embodies the tensions between feminism, success, and personal sacrifice.
  • D. Audrey
    Audrey is the sweet but beleaguered love interest and florist’s assistant in the horror-comedy musical "Little Shop of Horrors."
  • E. Audrey
    Audrey is a kind-hearted, nature-loving girl in the 2012 animated film "The Lorax" whose dream of seeing real trees inspires the protagonist’s quest.
  • 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_69d8b9e87e18819087104a44dc4dc5b1 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e46f6aa64081908c9a82128a5a9024 completed April 19, 2026, 6 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0216646f2c8190845d2dcc510f848f completed May 11, 2026, 5:48 p.m.
NEDg Description generation batch_6a021838dae081908bdd74733bb272ee completed May 11, 2026, 5:56 p.m.
NED2 Entity disambiguation (via description) batch_6a0218ba7f14819097e07caccdf8ff83 completed May 11, 2026, 5:58 p.m.
Created at: April 10, 2026, 10 a.m.