Triple

T18690637
Position Surface form Disambiguated ID Type / Status
Subject Mario Adorf E456987 entity
Predicate familyName P18 FINISHED
Object Adorf
Adorf is a German surname most notably borne by acclaimed actor Mario Adorf.
E1337809 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: Adorf | Statement: [Mario Adorf, familyName, Adorf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Adorf
Context triple: [Mario Adorf, familyName, Adorf]
  • A. Durlach
    Durlach is a historic district of Karlsruhe in southwestern Germany, known for its medieval old town and role as a former residence of the Margraves of Baden.
  • B. Falkenau
    Falkenau is a locality that forms part of the town of Flöha in the Saxon region of Germany.
  • C. Kaltenborn
    Kaltenborn is a small municipality in the Ahrweiler district of Rhineland-Palatinate, western Germany, situated in the Eifel region.
  • D. Fahrenkopf
    Fahrenkopf is a surname most prominently associated with Frank J. Fahrenkopf Jr., an American lawyer, lobbyist, and former chairman of the Republican National Committee.
  • E. Geva
    Geva is a surname most notably associated with Tamara Geva, a Russian-American actress, dancer, and choreographer.
  • 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: Adorf
Triple: [Mario Adorf, familyName, Adorf]
Generated description
Adorf is a German surname most notably borne by acclaimed actor Mario Adorf.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Adorf
Target entity description: Adorf is a German surname most notably borne by acclaimed actor Mario Adorf.
  • A. Durlach
    Durlach is a historic district of Karlsruhe in southwestern Germany, known for its medieval old town and role as a former residence of the Margraves of Baden.
  • B. Falkenau
    Falkenau is a locality that forms part of the town of Flöha in the Saxon region of Germany.
  • C. Kaltenborn
    Kaltenborn is a small municipality in the Ahrweiler district of Rhineland-Palatinate, western Germany, situated in the Eifel region.
  • D. Fahrenkopf
    Fahrenkopf is a surname most prominently associated with Frank J. Fahrenkopf Jr., an American lawyer, lobbyist, and former chairman of the Republican National Committee.
  • E. Geva
    Geva is a surname most notably associated with Tamara Geva, a Russian-American actress, dancer, and choreographer.
  • 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_69d8d391eb488190ac2e9abf5bf255e4 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e562e28e5c8190b0033c1667d50e05 completed April 19, 2026, 11:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a05235e5f088190b06ead816f290629 completed May 14, 2026, 1:20 a.m.
NEDg Description generation batch_6a0527868034819088b42563642cdaff completed May 14, 2026, 1:38 a.m.
NED2 Entity disambiguation (via description) batch_6a0527fe2fd8819094ddc99263b7e8da completed May 14, 2026, 1:40 a.m.
Created at: April 10, 2026, 11:49 a.m.