Triple

T27373479
Position Surface form Disambiguated ID Type / Status
Subject Norbert Schultze E690393 entity
Predicate wroteMusicalWork P86742 FINISHED
Object Bomben auf Engeland
Bomben auf Engeland is a World War II-era German propaganda song composed by Norbert Schultze, known for its militaristic and nationalistic themes targeting Britain.
 E1771168 NE FINISHED

How this triple was built (3 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: Bomben auf Engeland | Statement: [Norbert Schultze, wroteMusicalWork, Bomben auf Engeland]
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: Bomben auf Engeland
Triple: [Norbert Schultze, wroteMusicalWork, Bomben auf Engeland]
Generated description
Bomben auf Engeland is a World War II-era German propaganda song composed by Norbert Schultze, known for its militaristic and nationalistic themes targeting Britain.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: wroteMusicalWork
Context triple: [Norbert Schultze, wroteMusicalWork, Bomben auf Engeland]
  • A. hasWrittenSongsFor
    Indicates that one entity has composed songs specifically intended to be performed, recorded, or used by another entity.
  • B. composedForMusicBy chosen
    Indicates that a musical work was specifically created or written by a particular composer.
  • C. hasWrittenLyricsFor
    Indicates that one entity is the lyricist who has created the words for a song or musical work performed or associated with another entity.
  • D. musicalWork
    Indicates a relationship where an entity is identified as a musical composition or piece associated with another entity (such as a creator, performance, or recording).
  • E. musicalTheatreComposer
    Indicates that a person composes music specifically for musical theatre productions.
  • F. None of above.

Provenance (6 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_69ef51ff826081909e42c8e2bfb97941 completed April 27, 2026, 12:09 p.m.
NER Named-entity recognition batch_69f643ed0b7481908cf25f3afec0a61d completed May 2, 2026, 6:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12a7e5fdb4819093fccc56cfff0cae completed May 24, 2026, 7:25 a.m.
NEDg Description generation batch_6a12a9ef43ac819097d5c47108692c15 completed May 24, 2026, 7:34 a.m.
NED2 Entity disambiguation (via description) batch_6a12ab2c6840819085f11be72866c959 completed May 24, 2026, 7:39 a.m.
PD Predicate disambiguation batch_69f641dc8ff48190ab575d855616580c completed May 2, 2026, 6:26 p.m.
Created at: April 27, 2026, 12:19 p.m.