Triple

T32864535
Position Surface form Disambiguated ID Type / Status
Subject Hadamar Euthanasia Centre E840611 entity
Predicate notablePerpetrator P698 FINISHED
Object Adolf Wahlmann
Adolf Wahlmann was a German physician who participated in the Nazi euthanasia program, serving as a key perpetrator of killings at the Hadamar Euthanasia Centre.
E2296698 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: Adolf Wahlmann | Statement: [Hadamar Euthanasia Centre, notablePerpetrator, Adolf Wahlmann]
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: Adolf Wahlmann
Triple: [Hadamar Euthanasia Centre, notablePerpetrator, Adolf Wahlmann]
Generated description
Adolf Wahlmann was a German physician who participated in the Nazi euthanasia program, serving as a key perpetrator of killings at the Hadamar Euthanasia Centre.

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_69f34942465c819099b3fb47f9044f58 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6ceb9252c819088c4ff264fbef697 completed May 3, 2026, 4:27 a.m.
NED1 Entity disambiguation (via context triple) batch_6a82a4de5a4481908e73138b21da58b6 completed Aug. 17, 2026, 6:06 a.m.
NEDg Description generation batch_6a82a52fb10c819085427458de050a62 completed Aug. 17, 2026, 6:07 a.m.
NED2 Entity disambiguation (via description) batch_6a82a58362ec8190b9b716332e128a3e completed Aug. 17, 2026, 6:09 a.m.
Created at: May 1, 2026, 1:17 a.m.