Triple

T2866195
Position Surface form Disambiguated ID Type / Status
Subject Eugen von Böhm-Bawerk E63443 entity
Predicate givenName P17 FINISHED
Object Eugen
Eugen is a masculine given name of Greek origin, commonly used in various European languages and derived from a word meaning "well-born" or "noble."
 E305910 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: [Eugen von Böhm-Bawerk, givenName, Eugen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Eugen
Context triple: [Eugen von Böhm-Bawerk, givenName, Eugen]
  • A. Eugen
    Eugen is the given first name of the influential German playwright and poet Bertolt Brecht.
  • B. Günther
    Günther is a German masculine given name traditionally associated with figures of Germanic origin and culture.
  • C. Theodor
    Theodor "Ted" Nelson is an American pioneer of information technology best known for coining the term "hypertext" and envisioning global hyperlinked document systems.
  • D. Theodor
    Theodor is the given name of Emil Theodor Kocher, a Swiss surgeon and Nobel laureate renowned for his pioneering work in thyroid surgery.
  • E. Erwin
    Erwin is a masculine given name of German origin, historically associated with figures such as the World War II field marshal Erwin Rommel.
  • 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: [Eugen von Böhm-Bawerk, givenName, Eugen]
Generated description
Eugen is a masculine given name of Greek origin, commonly used in various European languages and derived from a word meaning "well-born" or "noble."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Eugen
Target entity description: Eugen is a masculine given name of Greek origin, commonly used in various European languages and derived from a word meaning "well-born" or "noble."
  • A. Eugen
    Eugen is the given first name of the influential German playwright and poet Bertolt Brecht.
  • B. Günther
    Günther is a German masculine given name traditionally associated with figures of Germanic origin and culture.
  • C. Theodor
    Theodor "Ted" Nelson is an American pioneer of information technology best known for coining the term "hypertext" and envisioning global hyperlinked document systems.
  • D. Theodor
    Theodor is the given name of Emil Theodor Kocher, a Swiss surgeon and Nobel laureate renowned for his pioneering work in thyroid surgery.
  • E. Erwin
    Erwin is a masculine given name of German origin, historically associated with figures such as the World War II field marshal Erwin Rommel.
  • 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_69ab4c42fb8c8190b36e161d47c03b81 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdfbb7ed4819096ca65391077e2af completed March 7, 2026, 8:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69b01da85930819092d19a5e712cfa18 completed March 10, 2026, 1:33 p.m.
NEDg Description generation batch_69b01e34639c8190b1c6e8a14cd31d96 completed March 10, 2026, 1:35 p.m.
NED2 Entity disambiguation (via description) batch_69b01f5a6784819089499926fb115d9c completed March 10, 2026, 1:40 p.m.
Created at: March 6, 2026, 10:02 p.m.