Triple

T10306006
Position Surface form Disambiguated ID Type / Status
Subject Otto Ernst Remer E241762 entity
Predicate familyName P18 FINISHED
Object Remer
Remer is a German surname most notably associated with Otto Ernst Remer, a controversial Wehrmacht officer during World War II.
 E854291 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: Remer | Statement: [Otto Ernst Remer, familyName, Remer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Remer
Context triple: [Otto Ernst Remer, familyName, Remer]
  • A. Remm
    Remm is a Japanese hotel brand known for its compact, design-focused “sleep-centric” business hotels operated by Hankyu Hanshin Hotels.
  • B. Kassis
    Kassis is a family name of likely Levantine, particularly Palestinian or broader Arab, origin.
  • C. Jamael
    Jamael is the given first name of former NFL cornerback Ronde Barber, a longtime standout for the Tampa Bay Buccaneers.
  • D. Lyrus
    Lyrus is a minor figure in Greek and Roman mythology known primarily as a son of Anchises.
  • E. Auron
    Auron is a river in central France that flows through the Cher department and joins the Yèvre near the city of Bourges.
  • 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: Remer
Triple: [Otto Ernst Remer, familyName, Remer]
Generated description
Remer is a German surname most notably associated with Otto Ernst Remer, a controversial Wehrmacht officer during World War II.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Remer
Target entity description: Remer is a German surname most notably associated with Otto Ernst Remer, a controversial Wehrmacht officer during World War II.
  • A. Remm
    Remm is a Japanese hotel brand known for its compact, design-focused “sleep-centric” business hotels operated by Hankyu Hanshin Hotels.
  • B. Kassis
    Kassis is a family name of likely Levantine, particularly Palestinian or broader Arab, origin.
  • C. Jamael
    Jamael is the given first name of former NFL cornerback Ronde Barber, a longtime standout for the Tampa Bay Buccaneers.
  • D. Lyrus
    Lyrus is a minor figure in Greek and Roman mythology known primarily as a son of Anchises.
  • E. Auron
    Auron is a river in central France that flows through the Cher department and joins the Yèvre near the city of Bourges.
  • 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_69d381ac38808190a8ca7457c85b625b completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d309a4508190ad9de37171a64dba completed April 7, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71d60be1481909dc1330f150e3897 completed April 9, 2026, 3:30 a.m.
NEDg Description generation batch_69d73185266481909e79eddc33469d8d completed April 9, 2026, 4:56 a.m.
NED2 Entity disambiguation (via description) batch_69d73279922c8190b616e1a61df4d227 completed April 9, 2026, 5 a.m.
Created at: April 6, 2026, 11:46 a.m.