Triple

T768767
Position Surface form Disambiguated ID Type / Status
Subject Alexander Löhr E16233 entity
Predicate familyName P18 FINISHED
Object Löhr
Löhr is a German-language surname borne by various notable individuals, including figures in military, arts, and public life.
 E114114 NE FINISHED

How this triple was built (4 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: Löhr | Statement: [Alexander Löhr, familyName, Löhr]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Löhr
Context triple: [Alexander Löhr, familyName, Löhr]
  • A. Schöngarth
    Schöngarth is a German surname most notably associated with Eberhard Schöngarth, a high-ranking Nazi SS officer and war criminal during World War II.
  • B. Mölders
    Mölders is a German surname most prominently associated with World War II Luftwaffe fighter ace Werner Mölders.
  • C. Reundorf
    Reundorf is a village-level subdivision of the town of Lichtenfels in the Upper Franconia region of Bavaria, Germany.
  • D. Starnberg
    Starnberg is a lakeside town in Bavaria, Germany, known for its affluent residential character and scenic location on Lake Starnberg southwest of Munich.
  • E. Kellerwald
    Kellerwald is a low mountain forest region in central Germany known for its ancient beech woodlands and protected national park status.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Löhr
Triple: [Alexander Löhr, familyName, Löhr]
Generated description
Löhr is a German-language surname borne by various notable individuals, including figures in military, arts, and public life.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Löhr
Target entity description: Löhr is a German-language surname borne by various notable individuals, including figures in military, arts, and public life.
  • A. Schöngarth
    Schöngarth is a German surname most notably associated with Eberhard Schöngarth, a high-ranking Nazi SS officer and war criminal during World War II.
  • B. Mölders
    Mölders is a German surname most prominently associated with World War II Luftwaffe fighter ace Werner Mölders.
  • C. Reundorf
    Reundorf is a village-level subdivision of the town of Lichtenfels in the Upper Franconia region of Bavaria, Germany.
  • D. Starnberg
    Starnberg is a lakeside town in Bavaria, Germany, known for its affluent residential character and scenic location on Lake Starnberg southwest of Munich.
  • E. Kellerwald
    Kellerwald is a low mountain forest region in central Germany known for its ancient beech woodlands and protected national park status.
  • F. None of above. chosen

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_69a49369a0848190af883934cee3db4c completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a701e584819095905cf74d33e11c completed March 1, 2026, 8:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac16f360208190affd6282a1040d9a completed March 7, 2026, 12:15 p.m.
NEDg Description generation batch_69ac1787a9ac81908f032cd893d3efe8 completed March 7, 2026, 12:18 p.m.
NED2 Entity disambiguation (via description) batch_69ac1807aa388190ad2910966c9d1b04 completed March 7, 2026, 12:20 p.m.
Created at: March 1, 2026, 7:37 p.m.