Triple

T9752063
Position Surface form Disambiguated ID Type / Status
Subject Erik von Detten E236464 entity
Predicate familyName P18 FINISHED
Object von Detten
von Detten is a German-origin surname most notably associated with American actor Erik von Detten.
E818120 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: von Detten | Statement: [Erik von Detten, familyName, von Detten]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: von Detten
Context triple: [Erik von Detten, familyName, von Detten]
  • A. von Schlebrügge
    von Schlebrügge is the aristocratic German-Swedish family name of Nena von Schlebrügge, a former fashion model and mother of actress Uma Thurman.
  • B. von Kühn
    von Kühn is a German noble family name historically associated with figures such as Sophie von Kühn.
  • C. von Teuffenbach
    Von Teuffenbach is a German noble surname historically associated with baronial lineage.
  • D. von Weichs
    von Weichs is a German noble family name most prominently associated with Maximilian von Weichs, a senior Wehrmacht field marshal during World War II.
  • E. Dettenschwang
    Dettenschwang is a village and district of the market town Dießen am Ammersee in the Bavarian region of Germany.
  • 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: von Detten
Triple: [Erik von Detten, familyName, von Detten]
Generated description
von Detten is a German-origin surname most notably associated with American actor Erik von Detten.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: von Detten
Target entity description: von Detten is a German-origin surname most notably associated with American actor Erik von Detten.
  • A. von Schlebrügge
    von Schlebrügge is the aristocratic German-Swedish family name of Nena von Schlebrügge, a former fashion model and mother of actress Uma Thurman.
  • B. von Kühn
    von Kühn is a German noble family name historically associated with figures such as Sophie von Kühn.
  • C. von Teuffenbach
    Von Teuffenbach is a German noble surname historically associated with baronial lineage.
  • D. von Weichs
    von Weichs is a German noble family name most prominently associated with Maximilian von Weichs, a senior Wehrmacht field marshal during World War II.
  • E. Dettenschwang
    Dettenschwang is a village and district of the market town Dießen am Ammersee in the Bavarian region of Germany.
  • 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_69ca84d4eddc8190996fec1417d2bae8 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9facd5b881909f0569b23f308815 completed April 1, 2026, 10:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1b020829481908456e7977c5f9adb completed April 5, 2026, 12:43 a.m.
NEDg Description generation batch_69d1b0dde93881908fcec28de9cfa99d completed April 5, 2026, 12:46 a.m.
NED2 Entity disambiguation (via description) batch_69d1b1bbe6108190af17b75f79c0f465 completed April 5, 2026, 12:50 a.m.
Created at: March 30, 2026, 8:24 p.m.