Triple

T8033019
Position Surface form Disambiguated ID Type / Status
Subject Jojo Rabbit E187032 entity
Predicate basedOnAuthor P2806 FINISHED
Object Christine Leunens
Christine Leunens is a New Zealand–based Belgian-American novelist best known for her book "Caging Skies," which was adapted into the Oscar-winning film "Jojo Rabbit."
E709204 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: Christine Leunens | Statement: [Jojo Rabbit, basedOnAuthor, Christine Leunens]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Christine Leunens
Context triple: [Jojo Rabbit, basedOnAuthor, Christine Leunens]
  • A. Christine Defraigne
    Christine Defraigne is a Belgian liberal politician who has served in prominent national roles, including as President of the Senate.
  • B. Janine Nabers
    Janine Nabers is an American playwright, television writer, and producer known for her work on series such as Swarm, Watchmen, and Atlanta.
  • C. Astrid Nienhuis
    Astrid Nienhuis is a Dutch politician who serves as the mayor of the municipality of Heemstede in the Netherlands.
  • D. Stéphanie Von Euw
    Stéphanie Von Euw is a French politician who serves as the mayor of the city of Pontoise in the Île-de-France region.
  • E. Erika van Thiel
    Erika van Thiel is best known as the wife of Dutch trance DJ and record producer Armin van Buuren.
  • 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: Christine Leunens
Triple: [Jojo Rabbit, basedOnAuthor, Christine Leunens]
Generated description
Christine Leunens is a New Zealand–based Belgian-American novelist best known for her book "Caging Skies," which was adapted into the Oscar-winning film "Jojo Rabbit."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Christine Leunens
Target entity description: Christine Leunens is a New Zealand–based Belgian-American novelist best known for her book "Caging Skies," which was adapted into the Oscar-winning film "Jojo Rabbit."
  • A. Christine Defraigne
    Christine Defraigne is a Belgian liberal politician who has served in prominent national roles, including as President of the Senate.
  • B. Janine Nabers
    Janine Nabers is an American playwright, television writer, and producer known for her work on series such as Swarm, Watchmen, and Atlanta.
  • C. Astrid Nienhuis
    Astrid Nienhuis is a Dutch politician who serves as the mayor of the municipality of Heemstede in the Netherlands.
  • D. Stéphanie Von Euw
    Stéphanie Von Euw is a French politician who serves as the mayor of the city of Pontoise in the Île-de-France region.
  • E. Erika van Thiel
    Erika van Thiel is best known as the wife of Dutch trance DJ and record producer Armin van Buuren.
  • 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_69ca82ae2d1081909dbfee42b41db419 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3ef3e6848190913c4b1bef506aae completed March 31, 2026, 3:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc63cb39a48190b4d987295b5aa1b2 completed April 1, 2026, 12:16 a.m.
NEDg Description generation batch_69cc651b4be08190ad76c70b1d617c1a completed April 1, 2026, 12:21 a.m.
NED2 Entity disambiguation (via description) batch_69cc664700dc819097d149931cf49673 completed April 1, 2026, 12:26 a.m.
Created at: March 30, 2026, 5:22 p.m.