Triple
T17018140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lola |
E412873
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object | Peer Raben |
E1029340
|
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: Peer Raben | Statement: [Lola, musicBy, Peer Raben]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peer Raben Context triple: [Lola, musicBy, Peer Raben]
-
A.
Peer Raben
chosen
Peer Raben was a German composer best known for his long-standing collaboration with filmmaker Rainer Werner Fassbinder, for whom he scored many influential New German Cinema films.
-
B.
Jesper Rasmussen
Jesper Rasmussen is a Danish professional footballer known for playing as a forward in Denmark’s top leagues.
-
C.
Tuck Hansen
Tuck Hansen is one of the two rival CIA agents who compete for the same woman in the romantic action-comedy film "This Means War."
-
D.
Dennis Rasmussen
Dennis Rasmussen is the name of multiple notable individuals, including a former Major League Baseball pitcher and a Swedish professional ice hockey player.
-
E.
Torben Hansen
Torben Hansen is a person notable enough to be specifically cited as a bearer of the surname Hansen, though further widely known distinguishing details are not provided.
- 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_69d886cc4170819093deddc7b8b4b6a7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d480a58c8190a3912d26debb4311 |
completed | April 18, 2026, 6:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a011b4d6cb881909b64b4368fd97fa9 |
completed | May 10, 2026, 11:57 p.m. |
Created at: April 10, 2026, 5:33 a.m.