Triple

T16265209
Position Surface form Disambiguated ID Type / Status
Subject Adeline Oppenheim Guimard E394857 entity
Predicate familyName P18 FINISHED
Object Oppenheim E484221 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: Oppenheim | Statement: [Adeline Oppenheim Guimard, familyName, Oppenheim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oppenheim
Context triple: [Adeline Oppenheim Guimard, familyName, Oppenheim]
  • A. Oppenheim chosen
    Oppenheim is a German-origin surname borne by various notable individuals across fields such as entertainment, finance, and academia.
  • B. Strasberg
    Strasberg is a surname most famously associated with Lee Strasberg, the influential acting teacher and director who popularized method acting in the United States.
  • C. Godesberg
    Godesberg is a historic district in Bonn, Germany, known for its medieval castle ruins and role in regional conflicts such as the Cologne War.
  • D. Offenbach
    Offenbach was a 19th-century German-French composer best known for his pioneering operettas, including "Orpheus in the Underworld" and "La Belle Hélène."
  • E. Olsberg
    Olsberg is a small town in the Hochsauerland region of North Rhine-Westphalia, Germany, known for its scenic location in the Sauerland hills and outdoor recreation opportunities.
  • 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_69d87f221d8081909b0b2063e7528ba2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e245c73944819085633e6d2a69bae9 completed April 17, 2026, 2:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0017b877088190893a1f012e5d2463 completed May 10, 2026, 5:29 a.m.
Created at: April 10, 2026, 5:05 a.m.