Triple

T4482573
Position Surface form Disambiguated ID Type / Status
Subject Julian Schnabel E100168 entity
Predicate familyName P18 FINISHED
Object Schnabel
Schnabel is a German-language surname borne by various notable figures in the arts, politics, and academia.
E443908 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: Schnabel | Statement: [Julian Schnabel, familyName, Schnabel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Schnabel
Context triple: [Julian Schnabel, familyName, Schnabel]
  • A. Barbel
    Barbel is a feminine given name, commonly used as a diminutive or variant of names like Barbara in German-speaking regions.
  • B. Bruhn
    Bruhn is a German-origin surname borne by various notable individuals across fields such as music, sports, and academia.
  • C. 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.
  • D. Ratonneau
    Ratonneau is one of the main islands of the Frioul archipelago off the coast of Marseille in southern France, known for its rocky landscapes and Mediterranean coves.
  • E. Fuhse
    Fuhse is a river in Lower Saxony, Germany, that flows through several towns before joining the Aller River.
  • 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: Schnabel
Triple: [Julian Schnabel, familyName, Schnabel]
Generated description
Schnabel is a German-language surname borne by various notable figures in the arts, politics, and academia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Schnabel
Target entity description: Schnabel is a German-language surname borne by various notable figures in the arts, politics, and academia.
  • A. Barbel
    Barbel is a feminine given name, commonly used as a diminutive or variant of names like Barbara in German-speaking regions.
  • B. Bruhn
    Bruhn is a German-origin surname borne by various notable individuals across fields such as music, sports, and academia.
  • C. 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.
  • D. Ratonneau
    Ratonneau is one of the main islands of the Frioul archipelago off the coast of Marseille in southern France, known for its rocky landscapes and Mediterranean coves.
  • E. Fuhse
    Fuhse is a river in Lower Saxony, Germany, that flows through several towns before joining the Aller River.
  • 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_69b34553cbe48190afa8ac1cac285b86 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b356fb69a0819099f0005779f4fcac completed March 13, 2026, 12:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69b63782b8588190ba34c923ed4b792d completed March 15, 2026, 4:37 a.m.
NEDg Description generation batch_69b63b8ad4b08190a28c99918ece76b3 completed March 15, 2026, 4:54 a.m.
NED2 Entity disambiguation (via description) batch_69b63c15a27c81908f3a444becd41b16 completed March 15, 2026, 4:56 a.m.
Created at: March 12, 2026, 11:36 p.m.