Triple

T2789324
Position Surface form Disambiguated ID Type / Status
Subject Josef Stefan E61890 entity
Predicate familyName P18 FINISHED
Object Stefan
Stefan is a common Central and Eastern European surname of Germanic and Slavic origin, borne by various notable figures in science, arts, and public life.
 E203731 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: Stefan | Statement: [Josef Stefan, familyName, Stefan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Stefan
Context triple: [Josef Stefan, familyName, Stefan]
  • A. Stefan Rafael Benjamin
    Stefan Rafael Benjamin was the son of the German Jewish philosopher and cultural critic Walter Benjamin.
  • B. Joachim
    Joachim is a masculine given name of Hebrew origin, commonly used in German-speaking and other European countries.
  • C. Stefan Schlachtenhaufen
    Stefan Schlachtenhaufen is the birth name of Steve Holmes, a Romanian-born German pornographic actor and director.
  • D. Johan
    Johan is the given first name of J. Erik Jonsson, an American businessman and philanthropist who co-founded Texas Instruments and served as mayor of Dallas.
  • E. Julijan
    Julijan is a given name, commonly used in Slavic regions, that corresponds to the name Julian.
  • 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: Stefan
Triple: [Josef Stefan, familyName, Stefan]
Generated description
Stefan is a common Central and Eastern European surname of Germanic and Slavic origin, borne by various notable figures in science, arts, and public life.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Stefan
Target entity description: Stefan is a common Central and Eastern European surname of Germanic and Slavic origin, borne by various notable figures in science, arts, and public life.
  • A. Stefan Rafael Benjamin
    Stefan Rafael Benjamin was the son of the German Jewish philosopher and cultural critic Walter Benjamin.
  • B. Joachim
    Joachim is a masculine given name of Hebrew origin, commonly used in German-speaking and other European countries.
  • C. Stefan Schlachtenhaufen chosen
    Stefan Schlachtenhaufen is the birth name of Steve Holmes, a Romanian-born German pornographic actor and director.
  • D. Johan
    Johan is the given first name of J. Erik Jonsson, an American businessman and philanthropist who co-founded Texas Instruments and served as mayor of Dallas.
  • E. Julijan
    Julijan is a given name, commonly used in Slavic regions, that corresponds to the name Julian.
  • F. None of above.

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_69ab4b7f51d881908768300ebd2fbdae completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abddb3d63c8190b3ab5fa363c69db8 completed March 7, 2026, 8:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc6589558819088442f09db328dac completed March 10, 2026, 7:20 a.m.
NEDg Description generation batch_69afc6d485d88190b281abec460ff24d completed March 10, 2026, 7:23 a.m.
NED2 Entity disambiguation (via description) batch_69afc750fee08190bf3c112f6f204af4 completed March 10, 2026, 7:25 a.m.
Created at: March 6, 2026, 9:58 p.m.