Triple

T4653739
Position Surface form Disambiguated ID Type / Status
Subject Johannes Müller E102357 entity
Predicate influenced P9 FINISHED
Object Carl Ludwig E320427 NE FINISHED

How this triple was built (2 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: Carl Ludwig | Statement: [Johannes Müller, influenced, Carl Ludwig]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carl Ludwig
Context triple: [Johannes Müller, influenced, Carl Ludwig]
  • A. Carl Ludwig chosen
    Carl Ludwig is a masculine given name of German origin, historically borne by various notable figures in science, philosophy, and the arts.
  • B. Carl Ludwig
    Carl Ludwig is a computer graphics pioneer and co-founder of Blue Sky Studios, known for advancing CGI technology in animated films.
  • C. Johann Friedrich
    Johann Friedrich is the given name of Johann Friedrich Städel, a German merchant and art patron who founded the Städel Museum in Frankfurt.
  • D. Carl Ludwig Long
    Carl Ludwig "Luz" Long was a German long jumper best known for his sportsmanship and silver medal performance at the 1936 Berlin Olympics alongside Jesse Owens.
  • E. Carl Wilhelm
    Carl Wilhelm, later known as Guillermo Kahlo, was a German-born photographer who became notable in Mexico as the father of renowned painter Frida Kahlo.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69bd43d71a308190afea7280841b0de8 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd631623d881908a59dafa7702af54 completed March 20, 2026, 3:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfaef125c819097d79f25608302dc completed March 21, 2026, 1:57 a.m.
Created at: March 20, 2026, 1:14 p.m.