Triple

T1347975
Position Surface form Disambiguated ID Type / Status
Subject Bertolt Brecht E28815 entity
Predicate givenName P17 FINISHED
Object Eugen
Eugen is the given first name of the influential German playwright and poet Bertolt Brecht.
E187271 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: Eugen | Statement: [Bertolt Brecht, givenName, Eugen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eugen
Context triple: [Bertolt Brecht, givenName, Eugen]
  • A. Günther
    Günther is a German masculine given name traditionally associated with figures of Germanic origin and culture.
  • B. Theodor
    Theodor "Ted" Nelson is an American pioneer of information technology best known for coining the term "hypertext" and envisioning global hyperlinked document systems.
  • C. Theodor
    Theodor is the given name of Emil Theodor Kocher, a Swiss surgeon and Nobel laureate renowned for his pioneering work in thyroid surgery.
  • D. Erwin
    Erwin is a masculine given name of German origin, historically associated with figures such as the World War II field marshal Erwin Rommel.
  • E. Ernst
    Ernst is a masculine given name of Germanic origin, commonly used in German-speaking and Scandinavian countries.
  • 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: Eugen
Triple: [Bertolt Brecht, givenName, Eugen]
Generated description
Eugen is the given first name of the influential German playwright and poet Bertolt Brecht.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Eugen
Target entity description: Eugen is the given first name of the influential German playwright and poet Bertolt Brecht.
  • A. Günther
    Günther is a German masculine given name traditionally associated with figures of Germanic origin and culture.
  • B. Theodor
    Theodor "Ted" Nelson is an American pioneer of information technology best known for coining the term "hypertext" and envisioning global hyperlinked document systems.
  • C. Theodor
    Theodor is the given name of Emil Theodor Kocher, a Swiss surgeon and Nobel laureate renowned for his pioneering work in thyroid surgery.
  • D. Erwin
    Erwin is a masculine given name of German origin, historically associated with figures such as the World War II field marshal Erwin Rommel.
  • E. Ernst
    Ernst is a masculine given name of Germanic origin, commonly used in German-speaking and Scandinavian countries.
  • 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_69a498571d248190a0ac9eb02d97097f completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c2418e38819094683d6e1efc6e56 completed March 1, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad67f9b0dc8190a5b38450c227eac5 completed March 8, 2026, 12:13 p.m.
NEDg Description generation batch_69ad68d482948190852098c5e80ad67b completed March 8, 2026, 12:17 p.m.
NED2 Entity disambiguation (via description) batch_69ad693e60048190bb2179a958a72452 completed March 8, 2026, 12:19 p.m.
Created at: March 1, 2026, 7:56 p.m.