Triple

T24838530
Position Surface form Disambiguated ID Type / Status
Subject Hanns Martin Schleyer E621545 entity
Predicate spouse P13 FINISHED
Object Waltrude Schleyer
Waltrude Schleyer is a German public figure known primarily as the widow of industrialist Hanns Martin Schleyer, who became active in memorial and victims’ advocacy work after his 1977 kidnapping and murder by the Red Army Faction.
E1708128 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: Waltrude Schleyer | Statement: [Hanns Martin Schleyer, spouse, Waltrude Schleyer]
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: Waltrude Schleyer
Triple: [Hanns Martin Schleyer, spouse, Waltrude Schleyer]
Generated description
Waltrude Schleyer is a German public figure known primarily as the widow of industrialist Hanns Martin Schleyer, who became active in memorial and victims’ advocacy work after his 1977 kidnapping and murder by the Red Army Faction.

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_69e2fac185d48190a0a6073ad1f6b792 completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f422b94d348190a77e31166a24c921 completed May 1, 2026, 3:49 a.m.
NED1 Entity disambiguation (via context triple) batch_6a111adc3d048190878d6190200042b1 completed May 23, 2026, 3:11 a.m.
NEDg Description generation batch_6a111c0a65f881908a29d01412627de9 completed May 23, 2026, 3:16 a.m.
NED2 Entity disambiguation (via description) batch_6a111ca03b088190937f673d972fdca2 completed May 23, 2026, 3:18 a.m.
Created at: April 18, 2026, 5:18 a.m.