Triple
T8023103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Without You |
E186785
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Elias Klughammer |
E740314
|
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: Elias Klughammer | Statement: [Without You, producer, Elias Klughammer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elias Klughammer Context triple: [Without You, producer, Elias Klughammer]
-
A.
Elias Klughammer
chosen
Elias Klughammer is a songwriter best known for his work on the song "Without You."
-
B.
Gotthard Heinrici
Gotthard Heinrici was a German Wehrmacht field marshal renowned as one of Nazi Germany’s most skilled defensive commanders during World War II, particularly in the war’s final stages.
-
C.
Johann von Thielmann
Johann von Thielmann was a Prussian general of the Napoleonic Wars, noted for his leadership of Prussian forces during the Waterloo campaign.
-
D.
Johann Friedrich Weskott
Johann Friedrich Weskott was a 19th-century German businessman and co-founder of the pharmaceutical and chemical company Bayer.
-
E.
Johannes Lingelbach
Johannes Lingelbach was a 17th-century Dutch painter of the Golden Age, known for his lively Italianate landscapes, cityscapes, and genre scenes populated with finely detailed figures.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca82ad4e2c8190a693e3c9e30fe66f |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3e8fb6788190a16413051ec26988 |
completed | March 31, 2026, 3:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cebb05716c8190aec1ea8f0d01443a |
completed | April 2, 2026, 6:52 p.m. |
Created at: March 30, 2026, 5:21 p.m.