Triple

T18081878
Position Surface form Disambiguated ID Type / Status
Subject Titan A.E. E432709 entity
Predicate storyBy P1955 FINISHED
Object Hans Bauer
Hans Bauer is a screenwriter best known for co-writing the science fiction animated film "Titan A.E."
E1305779 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: Hans Bauer | Statement: [Titan A.E., storyBy, Hans Bauer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hans Bauer
Context triple: [Titan A.E., storyBy, Hans Bauer]
  • A. Hans Klopek
    Hans Klopek is a mysterious and unsettling neighbor in the dark comedy film "The 'Burbs," suspected by the protagonists of hiding sinister secrets.
  • B. Carl Fieger
    Carl Fieger was a German architect and designer associated with the Bauhaus movement, known for his innovative modernist buildings and furniture designs.
  • C. Heinrich Müller
    Heinrich Müller was the chief of the Gestapo, Nazi Germany’s secret state police, and a key figure in the regime’s apparatus of repression and terror.
  • D. Bernie Gunther
    Bernie Gunther is a cynical, morally complex German detective who navigates crime and corruption in Nazi-era and postwar Europe in Philip Kerr’s historical crime novels.
  • E. Hermann Blankenstein
    Hermann Blankenstein was a prominent 19th-century German architect best known for designing numerous public buildings in Berlin, particularly schools and administrative structures.
  • 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: Hans Bauer
Triple: [Titan A.E., storyBy, Hans Bauer]
Generated description
Hans Bauer is a screenwriter best known for co-writing the science fiction animated film "Titan A.E."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hans Bauer
Target entity description: Hans Bauer is a screenwriter best known for co-writing the science fiction animated film "Titan A.E."
  • A. Hans Klopek
    Hans Klopek is a mysterious and unsettling neighbor in the dark comedy film "The 'Burbs," suspected by the protagonists of hiding sinister secrets.
  • B. Carl Fieger
    Carl Fieger was a German architect and designer associated with the Bauhaus movement, known for his innovative modernist buildings and furniture designs.
  • C. Heinrich Müller
    Heinrich Müller was the chief of the Gestapo, Nazi Germany’s secret state police, and a key figure in the regime’s apparatus of repression and terror.
  • D. Bernie Gunther
    Bernie Gunther is a cynical, morally complex German detective who navigates crime and corruption in Nazi-era and postwar Europe in Philip Kerr’s historical crime novels.
  • E. Hermann Blankenstein
    Hermann Blankenstein was a prominent 19th-century German architect best known for designing numerous public buildings in Berlin, particularly schools and administrative structures.
  • 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_69d8b907d05c819083cc3bd6021089e6 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4d9fb42888190919fe711a281bd7c completed April 19, 2026, 1:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a035d8d4ab881909b2ebe0b933e3b97 completed May 12, 2026, 5:04 p.m.
NEDg Description generation batch_6a0360cc5d648190bd7d7d756f662046 completed May 12, 2026, 5:18 p.m.
NED2 Entity disambiguation (via description) batch_6a03616317548190a09b0df1c9d6d303 completed May 12, 2026, 5:20 p.m.
Created at: April 10, 2026, 10:27 a.m.