Triple

T10126960
Position Surface form Disambiguated ID Type / Status
Subject Carice van Houten E226238 entity
Predicate givenName P17 FINISHED
Object Carice
Carice is a Dutch given name best known internationally through actress Carice van Houten.
 E841548 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: Carice | Statement: [Carice van Houten, givenName, Carice]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Carice
Context triple: [Carice van Houten, givenName, Carice]
  • A. Carine
    Carine is a feminine given name, often considered a variant of names like Catherine or Karine, used in various European languages.
  • B. Claudia Karvan
    Claudia Karvan is an acclaimed Australian actress and producer known for her work in film and television, including prominent roles in series like "The Secret Life of Us" and "Love My Way."
  • C. Luciana
    Luciana is a feminine given name of Latin origin, commonly used in Spanish- and Portuguese-speaking countries.
  • D. Lucé
    Lucé is a suburban commune in northern France, located near the city of Chartres in the Eure-et-Loir department.
  • E. Langella
    Langella is an Italian-origin surname most notably borne by acclaimed American actor Frank Langella.
  • 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: Carice
Triple: [Carice van Houten, givenName, Carice]
Generated description
Carice is a Dutch given name best known internationally through actress Carice van Houten.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Carice
Target entity description: Carice is a Dutch given name best known internationally through actress Carice van Houten.
  • A. Carine
    Carine is a feminine given name, often considered a variant of names like Catherine or Karine, used in various European languages.
  • B. Claudia Karvan
    Claudia Karvan is an acclaimed Australian actress and producer known for her work in film and television, including prominent roles in series like "The Secret Life of Us" and "Love My Way."
  • C. Luciana
    Luciana is a feminine given name of Latin origin, commonly used in Spanish- and Portuguese-speaking countries.
  • D. Lucé
    Lucé is a suburban commune in northern France, located near the city of Chartres in the Eure-et-Loir department.
  • E. Langella
    Langella is an Italian-origin surname most notably borne by acclaimed American actor Frank Langella.
  • 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_69ca843057b48190a86730167f5d6b98 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cdd2eef7388190b95ffd02814f2d1f completed April 2, 2026, 2:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2cc69a5c88190ab7b108e1aab20ba completed April 5, 2026, 8:56 p.m.
NEDg Description generation batch_69d2cd90fb888190833ca68dd644860d completed April 5, 2026, 9:01 p.m.
NED2 Entity disambiguation (via description) batch_69d2ce02525881908a5394acb7967ba2 completed April 5, 2026, 9:02 p.m.
Created at: March 30, 2026, 9:05 p.m.