Triple

T2308533
Position Surface form Disambiguated ID Type / Status
Subject Woody Allen E51896 entity
Predicate familyName P18 FINISHED
Object Konigsberg
Konigsberg is the original surname of American filmmaker, comedian, and writer Woody Allen.
 E19236 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: Konigsberg | Statement: [Woody Allen, familyName, Konigsberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Konigsberg
Context triple: [Woody Allen, familyName, Konigsberg]
  • A. Königsberg
    Königsberg was a historic Prussian city on the Baltic Sea, renowned as a major cultural and intellectual center of East Prussia and later known as Kaliningrad.
  • B. Elbing
    Elbing is a historic Baltic port city, now known as Elbląg in Poland, that played a notable role in medieval trade as part of the Hanseatic commercial network.
  • C. Kiel
    Kiel is a major port city in northern Germany on the Baltic Sea, known for its maritime industry and the annual Kiel Week sailing festival.
  • D. Torgau
    Torgau is a historic town in eastern Germany, known for its Renaissance architecture and its role as a key meeting point of Allied forces near the end of World War II.
  • E. Potsdam
    Potsdam is a historic German city near Berlin, known for its palaces, parks, and role in major 20th-century diplomatic events.
  • 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: Konigsberg
Triple: [Woody Allen, familyName, Konigsberg]
Generated description
Konigsberg is the original surname of American filmmaker, comedian, and writer Woody Allen.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Konigsberg
Target entity description: Konigsberg is the original surname of American filmmaker, comedian, and writer Woody Allen.
  • A. Königsberg chosen
    Königsberg was a historic Prussian city on the Baltic Sea, renowned as a major cultural and intellectual center of East Prussia and later known as Kaliningrad.
  • B. Elbing
    Elbing is a historic Baltic port city, now known as Elbląg in Poland, that played a notable role in medieval trade as part of the Hanseatic commercial network.
  • C. Kiel
    Kiel is a major port city in northern Germany on the Baltic Sea, known for its maritime industry and the annual Kiel Week sailing festival.
  • D. Torgau
    Torgau is a historic town in eastern Germany, known for its Renaissance architecture and its role as a key meeting point of Allied forces near the end of World War II.
  • E. Potsdam
    Potsdam is a historic German city near Berlin, known for its palaces, parks, and role in major 20th-century diplomatic events.
  • F. None of above.

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_69a88b0bb30c81908ded03b006d29387 completed March 4, 2026, 7:42 p.m.
NER Named-entity recognition batch_69abc607cf4881908ba4ea2a7f5dedc9 completed March 7, 2026, 6:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69aeb3bbea88819089f069be4d369692 completed March 9, 2026, 11:49 a.m.
NEDg Description generation batch_69aeb46f882881909294a3698ead865e completed March 9, 2026, 11:52 a.m.
NED2 Entity disambiguation (via description) batch_69aeb4c715a88190b1009a2cf1d95441 completed March 9, 2026, 11:53 a.m.
Created at: March 4, 2026, 7:49 p.m.