Triple

T7966960
Position Surface form Disambiguated ID Type / Status
Subject Dr. Mabuse E185228 entity
Predicate writer P1360 FINISHED
Object Michael Mertens
Michael Mertens is a writer known for his work on the character Dr. Mabuse.
 E706021 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: Michael Mertens | Statement: [Dr. Mabuse, writer, Michael Mertens]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Michael Mertens
Context triple: [Dr. Mabuse, writer, Michael Mertens]
  • A. Michael Mertens
    Michael Mertens is a member of the German industrial metal band Propaganda.
  • B. Mathias Brugman
    Mathias Brugman was a prominent Puerto Rican revolutionary of Dutch-Curaçaoan descent who became one of the principal organizers and leaders of the island’s 1868 independence uprising against Spanish rule.
  • C. Tim Mertens
    Tim Mertens is a film editor best known for his work on the animated feature "Big Hero 6."
  • D. Blake Schilb
    Blake Schilb is an American-born professional basketball player, naturalized Czech, known for his versatile wing play in European leagues and appearances with the Czech national team.
  • E. Hannes Messemer
    Hannes Messemer was a German actor best known for his roles in postwar European cinema, particularly in war and drama films.
  • 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: Michael Mertens
Triple: [Dr. Mabuse, writer, Michael Mertens]
Generated description
Michael Mertens is a writer known for his work on the character Dr. Mabuse.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Michael Mertens
Target entity description: Michael Mertens is a writer known for his work on the character Dr. Mabuse.
  • A. Michael Mertens
    Michael Mertens is a member of the German industrial metal band Propaganda.
  • B. Mathias Brugman
    Mathias Brugman was a prominent Puerto Rican revolutionary of Dutch-Curaçaoan descent who became one of the principal organizers and leaders of the island’s 1868 independence uprising against Spanish rule.
  • C. Tim Mertens
    Tim Mertens is a film editor best known for his work on the animated feature "Big Hero 6."
  • D. Blake Schilb
    Blake Schilb is an American-born professional basketball player, naturalized Czech, known for his versatile wing play in European leagues and appearances with the Czech national team.
  • E. Hannes Messemer
    Hannes Messemer was a German actor best known for his roles in postwar European cinema, particularly in war and drama films.
  • 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_69ca8297699481909b75a405f01e03af completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3ba3f53c8190a0e9b3de2f1b9645 completed March 31, 2026, 3:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc566afad88190b53f228d836619de completed March 31, 2026, 11:19 p.m.
NEDg Description generation batch_69cc582333088190a763354783629a5a completed March 31, 2026, 11:26 p.m.
NED2 Entity disambiguation (via description) batch_69cc58f7dd948190bb8a0e88da8d281f completed March 31, 2026, 11:30 p.m.
Created at: March 30, 2026, 5:13 p.m.