Triple

T8994203
Position Surface form Disambiguated ID Type / Status
Subject Costa-Gavras E214860 entity
Predicate directed P7373 FINISHED
Object Hanna K.
Hanna K. is a 1983 political drama film by Costa-Gavras that explores the Israeli–Palestinian conflict through the story of a Jewish-American lawyer in Jerusalem.
 E771721 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: Hanna K. | Statement: [Costa-Gavras, directed, Hanna K.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hanna K.
Context triple: [Costa-Gavras, directed, Hanna K.]
  • A. Hannah Pakula
    Hannah Pakula is an American biographer and historian known for her detailed works on prominent 20th-century women and political figures.
  • B. Hanne
    Hanne is the birth name of Anna Karina, the acclaimed Danish-French actress and muse of the French New Wave cinema.
  • C. Hanne
    Hanne is a soprano soloist role representing a young country girl in Joseph Haydn’s oratorio "The Seasons."
  • D. Hanna Wolff
    Hanna Wolff was a German psychoanalyst and author known for her influential writings on depth psychology and the psychological interpretation of religious figures.
  • E. Hannah Ackermann
    Hannah Ackermann was the wife of the prominent German-born British publisher and printseller Rudolf Ackermann, associated with his social and family life in early 19th-century London.
  • 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: Hanna K.
Triple: [Costa-Gavras, directed, Hanna K.]
Generated description
Hanna K. is a 1983 political drama film by Costa-Gavras that explores the Israeli–Palestinian conflict through the story of a Jewish-American lawyer in Jerusalem.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hanna K.
Target entity description: Hanna K. is a 1983 political drama film by Costa-Gavras that explores the Israeli–Palestinian conflict through the story of a Jewish-American lawyer in Jerusalem.
  • A. Hannah Pakula
    Hannah Pakula is an American biographer and historian known for her detailed works on prominent 20th-century women and political figures.
  • B. Hanne
    Hanne is a soprano soloist role representing a young country girl in Joseph Haydn’s oratorio "The Seasons."
  • C. Hanne
    Hanne is the birth name of Anna Karina, the acclaimed Danish-French actress and muse of the French New Wave cinema.
  • D. Hanna Wolff
    Hanna Wolff was a German psychoanalyst and author known for her influential writings on depth psychology and the psychological interpretation of religious figures.
  • E. Hannah Ackermann
    Hannah Ackermann was the wife of the prominent German-born British publisher and printseller Rudolf Ackermann, associated with his social and family life in early 19th-century London.
  • 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_69ca83a05c608190bdfdbdb25e994b39 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc687798a881908e6fdd9a39219f1d completed April 1, 2026, 12:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfd0cd2b948190947a26fe11ad81bf completed April 3, 2026, 2:38 p.m.
NEDg Description generation batch_69cfd27680408190a5ebcebacf9e4303 completed April 3, 2026, 2:45 p.m.
NED2 Entity disambiguation (via description) batch_69cfd2dbf3cc81909589bd9467239573 completed April 3, 2026, 2:46 p.m.
Created at: March 30, 2026, 7:04 p.m.