Triple

T1333819
Position Surface form Disambiguated ID Type / Status
Subject von Galen E28701 entity
Predicate nobleTitleAssociatedWith P914 FINISHED
Object Graf
Graf is a historical German noble title roughly equivalent to a count in other European aristocratic systems.
 E151142 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: Graf | Statement: [von Galen, nobleTitleAssociatedWith, Graf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Graf
Context triple: [von Galen, nobleTitleAssociatedWith, Graf]
  • A. Grocka
    Grocka is a suburban municipality of Belgrade in Serbia, known for its agricultural production, especially fruit growing, and its location along the Danube River.
  • B. Gassel
    Gassel is a village in the Dutch province of North Brabant, known historically as a separate municipality before being incorporated into a larger administrative unit.
  • C. Wido
    Wido is a given name that functions as a variant form of the name Guido, used in various European languages.
  • D. Gustav
    Gustav is a masculine given name of German origin, borne by several notable historical figures including scientists, artists, and royalty.
  • E. Schalk
    Schalk is a masculine given name of Afrikaans and Dutch origin, commonly used in South Africa.
  • 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: Graf
Triple: [von Galen, nobleTitleAssociatedWith, Graf]
Generated description
Graf is a historical German noble title roughly equivalent to a count in other European aristocratic systems.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Graf
Target entity description: Graf is a historical German noble title roughly equivalent to a count in other European aristocratic systems.
  • A. Grocka
    Grocka is a suburban municipality of Belgrade in Serbia, known for its agricultural production, especially fruit growing, and its location along the Danube River.
  • B. Gassel
    Gassel is a village in the Dutch province of North Brabant, known historically as a separate municipality before being incorporated into a larger administrative unit.
  • C. Wido
    Wido is a given name that functions as a variant form of the name Guido, used in various European languages.
  • D. Gustav
    Gustav is a masculine given name of German origin, borne by several notable historical figures including scientists, artists, and royalty.
  • E. Schalk
    Schalk is a masculine given name of Afrikaans and Dutch origin, commonly used in South Africa.
  • 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_69a498561a508190a3e1bc137c2b866a completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c1e98900819092c54c0fb58b958a completed March 1, 2026, 10:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69acbf383b24819092acd076130ca5c0 completed March 8, 2026, 12:13 a.m.
NEDg Description generation batch_69acbf77a3748190a510ea10d8ae4373 completed March 8, 2026, 12:14 a.m.
NED2 Entity disambiguation (via description) batch_69acbfe5eae88190ba65808402ada37f completed March 8, 2026, 12:16 a.m.
Created at: March 1, 2026, 7:55 p.m.