Triple

T17182102
Position Surface form Disambiguated ID Type / Status
Subject Volker Schlöndorff E417008 entity
Predicate givenName P17 FINISHED
Object Volker
Volker is a masculine German given name commonly used in German-speaking countries.
 E1255751 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: Volker | Statement: [Volker Schlöndorff, givenName, Volker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Volker
Context triple: [Volker Schlöndorff, givenName, Volker]
  • A. Günther
    Günther is the zoologist who first formally described the impressed tortoise species Manouria impressa.
  • B. Günther
    Günther is a German masculine given name traditionally associated with figures of Germanic origin and culture.
  • C. Jörg
    Jörg is a masculine given name of German origin, commonly used in German-speaking countries.
  • D. Ortwin
    Ortwin is the middle name of Carl O. Sauer, a prominent American geographer known for his influential work in cultural and historical geography.
  • E. Gerhard
    Gerhard is a masculine given name of German origin, historically common in German-speaking 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: Volker
Triple: [Volker Schlöndorff, givenName, Volker]
Generated description
Volker is a masculine German given name commonly used in German-speaking countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Volker
Target entity description: Volker is a masculine German given name commonly used in German-speaking countries.
  • A. Günther
    Günther is the zoologist who first formally described the impressed tortoise species Manouria impressa.
  • B. Günther
    Günther is a German masculine given name traditionally associated with figures of Germanic origin and culture.
  • C. Jörg
    Jörg is a masculine given name of German origin, commonly used in German-speaking countries.
  • D. Ortwin
    Ortwin is the middle name of Carl O. Sauer, a prominent American geographer known for his influential work in cultural and historical geography.
  • E. Gerhard
    Gerhard is a masculine given name of German origin, historically common in German-speaking 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_69d886d5f34c8190b24564dfaa63f3fb completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42d934ec08190acc47073758ac3c0 completed April 19, 2026, 1:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a015fca04cc8190a9df230078fbe268 completed May 11, 2026, 4:49 a.m.
NEDg Description generation batch_6a0161e5f6f0819083c57feac088f531 completed May 11, 2026, 4:58 a.m.
NED2 Entity disambiguation (via description) batch_6a0162785e7081908d57801eeae7cf67 completed May 11, 2026, 5 a.m.
Created at: April 10, 2026, 5:37 a.m.