Triple
T35856520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ich hab dich zu früh geliebt |
E1036520
|
entity |
| Predicate | primaryPerformerEthnicity |
P136184
|
FINISHED |
| Object | Jewish |
—
|
LITERAL 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: Jewish | Statement: [Ich hab dich zu früh geliebt, primaryPerformerEthnicity, Jewish]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryPerformerEthnicity Context triple: [Ich hab dich zu früh geliebt, primaryPerformerEthnicity, Jewish]
-
A.
artistEthnicity
chosen
Indicates that an artist has a specific ethnic background or affiliation.
-
B.
representedEthnicFirst
Indicates that an entity served as the first person of a given ethnic group to represent another entity (such as an institution, organization, or jurisdiction).
-
C.
primaryPerpetratorEthnicity
Indicates the ethnic group to which the main individual responsible for an act or incident belongs.
-
D.
portrayedByEthnicity
Indicates that an entity is portrayed or represented by someone of a specified ethnic background.
-
E.
producerEthnicity
Indicates that the producer has the specified ethnic background or identity.
- F. None of above.
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_69f76e1b4aa481909630373171eb5ec6 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037ce70f54819082946dad8d380825 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a069e6c8190857b611fffb7b867 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:06 p.m.