Triple

T13568776
Position Surface form Disambiguated ID Type / Status
Subject Dirty Hands E324104 entity
Predicate hasCharacter P2308 FINISHED
Object Hoederer
Hoederer is a central political leader in Jean-Paul Sartre’s play "Dirty Hands," known for his pragmatic, morally ambiguous approach to revolutionary politics.
E1049728 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: Hoederer | Statement: [Dirty Hands, hasCharacter, Hoederer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hoederer
Context triple: [Dirty Hands, hasCharacter, Hoederer]
  • A. Eddy Hartenstein
    Eddy Hartenstein is an American media executive best known for leading the development and growth of the satellite television service DirecTV.
  • B. Gessler
    Gessler is a fictional character best known as the tyrannical Austrian bailiff and antagonist in the William Tell legend.
  • C. Olkmar Fichtner
    Olkmar Fichtner is a German local politician who has served as the mayor of the city of Naumburg (Saale) in Saxony-Anhalt.
  • D. Thomas Richter
    Thomas Richter is a relatively common German personal name shared by multiple individuals across fields such as sports, academia, and the arts.
  • E. Willy Hameister
    Willy Hameister was a German cinematographer best known for his influential work on early Expressionist cinema, including the landmark film "The Cabinet of Dr. Caligari."
  • 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: Hoederer
Triple: [Dirty Hands, hasCharacter, Hoederer]
Generated description
Hoederer is a central political leader in Jean-Paul Sartre’s play "Dirty Hands," known for his pragmatic, morally ambiguous approach to revolutionary politics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hoederer
Target entity description: Hoederer is a central political leader in Jean-Paul Sartre’s play "Dirty Hands," known for his pragmatic, morally ambiguous approach to revolutionary politics.
  • A. Eddy Hartenstein
    Eddy Hartenstein is an American media executive best known for leading the development and growth of the satellite television service DirecTV.
  • B. Gessler
    Gessler is a fictional character best known as the tyrannical Austrian bailiff and antagonist in the William Tell legend.
  • C. Olkmar Fichtner
    Olkmar Fichtner is a German local politician who has served as the mayor of the city of Naumburg (Saale) in Saxony-Anhalt.
  • D. Thomas Richter
    Thomas Richter is a relatively common German personal name shared by multiple individuals across fields such as sports, academia, and the arts.
  • E. Willy Hameister
    Willy Hameister was a German cinematographer best known for his influential work on early Expressionist cinema, including the landmark film "The Cabinet of Dr. Caligari."
  • 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_69d8076830b48190910a902bae5888e2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb00e0188819094fde44f85adb69c completed April 12, 2026, 2:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f76bb3d77c8190a7af2ee7e9b6748a completed May 3, 2026, 3:37 p.m.
NEDg Description generation batch_69f77640b5308190aaa50e8d5d871832 completed May 3, 2026, 4:22 p.m.
NED2 Entity disambiguation (via description) batch_69f779178dc48190bb0de790de30d8b0 completed May 3, 2026, 4:34 p.m.
Created at: April 9, 2026, 9:48 p.m.