Triple

T20467384
Position Surface form Disambiguated ID Type / Status
Subject Wilm Hosenfeld E502087 entity
Predicate givenName P17 FINISHED
Object Wilm 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: Wilm | Statement: [Wilm Hosenfeld, givenName, Wilm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wilm
Context triple: [Wilm Hosenfeld, givenName, Wilm]
  • A. Wilm chosen
    Wilm was a German Army officer during World War II known for helping and saving several persecuted Jews in Nazi-occupied Poland, including the Polish pianist Władysław Szpilman.
  • B. Ewing
    Ewing is a township in Mercer County, New Jersey, known as a suburban community that hosts The College of New Jersey and lies near the state capital of Trenton.
  • C. Ewing
    Ewing is a surname most prominently associated with Hall of Fame basketball player and coach Patrick Ewing.
  • D. Menotomy
    Menotomy was the original colonial-era name for the area that later became the town of Arlington, Massachusetts.
  • E. Hutch
    Hutch is a central character in the horror novel and film "The Ritual," known as one of the group of friends whose hiking trip in a Scandinavian forest turns terrifyingly supernatural.
  • 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_69e0b4ae5f1081908768b0c9a3a0bf38 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6995d9d1c81909ee223a35a0850ba completed April 20, 2026, 9:23 p.m.
Created at: April 16, 2026, 11:33 a.m.