Triple
T10737371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Love, Rosie |
E253227
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object |
Ralf Wengenmayr
Ralf Wengenmayr is a German film composer known for scoring a variety of feature films and international productions.
|
E899173
|
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: Ralf Wengenmayr | Statement: [Love, Rosie, musicBy, Ralf Wengenmayr]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ralf Wengenmayr Context triple: [Love, Rosie, musicBy, Ralf Wengenmayr]
-
A.
Karl Rammelt
Karl Rammelt was a German Luftwaffe fighter ace of World War II, credited with numerous aerial victories on the Eastern Front.
-
B.
Joachim Haspinger
Joachim Haspinger was a Capuchin priest and military leader who became a prominent figure in the Tyrolean uprising against Napoleonic and Bavarian rule in 1809.
-
C.
Harald Kainz
Harald Kainz is an Austrian civil engineer and academic who has served as a leading figure in higher education, notably heading Graz University of Technology.
-
D.
Ewald Stadler
Ewald Stadler is an Austrian politician and former member of the European Parliament known for his right-wing, nationalist positions.
-
E.
Rainer Schmid
Rainer Schmid is a German local politician who serves as the mayor of the municipality of Gailingen am Hochrhein in Baden-Württemberg.
- 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: Ralf Wengenmayr Triple: [Love, Rosie, musicBy, Ralf Wengenmayr]
Generated description
Ralf Wengenmayr is a German film composer known for scoring a variety of feature films and international productions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ralf Wengenmayr Target entity description: Ralf Wengenmayr is a German film composer known for scoring a variety of feature films and international productions.
-
A.
Karl Rammelt
Karl Rammelt was a German Luftwaffe fighter ace of World War II, credited with numerous aerial victories on the Eastern Front.
-
B.
Joachim Haspinger
Joachim Haspinger was a Capuchin priest and military leader who became a prominent figure in the Tyrolean uprising against Napoleonic and Bavarian rule in 1809.
-
C.
Harald Kainz
Harald Kainz is an Austrian civil engineer and academic who has served as a leading figure in higher education, notably heading Graz University of Technology.
-
D.
Ewald Stadler
Ewald Stadler is an Austrian politician and former member of the European Parliament known for his right-wing, nationalist positions.
-
E.
Rainer Schmid
Rainer Schmid is a German local politician who serves as the mayor of the municipality of Gailingen am Hochrhein in Baden-Württemberg.
- 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_69d6aa5e51e8819095f06881cecf152e |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d710410a04819090036597ac0d271c |
completed | April 9, 2026, 2:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e373af06588190879cd11cce11c7bb |
completed | April 18, 2026, 12:06 p.m. |
| NEDg | Description generation | batch_69e378dcc92c8190952d4acfee2a309c |
completed | April 18, 2026, 12:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e37be75a588190abb9569ef1e87279 |
completed | April 18, 2026, 12:41 p.m. |
Created at: April 8, 2026, 9:14 p.m.