Triple

T19204625
Position Surface form Disambiguated ID Type / Status
Subject André Friedmann E480199 entity
Predicate givenName P17 FINISHED
Object Endre NE NERFINISHED

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: Endre | Statement: [André Friedmann, givenName, Endre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Endre
Context triple: [André Friedmann, givenName, Endre]
  • A. Endre chosen
    Endre is the Hungarian given name of film director André De Toth, known for his work in mid-20th-century cinema.
  • B. Hendre
    Hendre is a residential suburb within the community of Pontyclun in Rhondda Cynon Taf, South Wales.
  • C. Trondenes
    Trondenes is a historic former municipality and parish in northern Norway, known for its medieval stone church and role as an administrative center in the Harstad region.
  • D. Finnentrop
    Finnentrop is a municipality in western Germany known for its location in the Sauerland region of North Rhine-Westphalia and its mix of rural landscapes and industrial activity.
  • E. Ekornes
    Ekornes is a Norwegian furniture manufacturer best known for its Stressless line of reclining chairs and sofas.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8cb8c348190b52075823911c869 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5f99b37c081908c13e0b4cca52aa4 completed April 20, 2026, 10:02 a.m.
Created at: April 10, 2026, 1:17 p.m.