Triple
T28666543
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anita Lasker-Wallfisch |
E725599
|
entity |
| Predicate | playedInstrumentIn |
P12601
|
FINISHED |
| Object | cello in the women’s orchestra of Auschwitz |
—
|
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: cello in the women’s orchestra of Auschwitz | Statement: [Anita Lasker-Wallfisch, playedInstrumentIn, cello in the women’s orchestra of Auschwitz]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: playedInstrumentIn Context triple: [Anita Lasker-Wallfisch, playedInstrumentIn, cello in the women’s orchestra of Auschwitz]
-
A.
playedInstrument
chosen
Indicates that an entity performed or used a particular musical instrument.
-
B.
studiedByInstrument
Indicates that something is examined, measured, or analyzed through the use of a specific instrument or device.
-
C.
usedAsInstrumentBy
Indicates that one entity functions as a tool, means, or instrument through which another entity performs an action or achieves an effect.
-
D.
learnedInstrument
Indicates that an entity has acquired the skill or ability to play a particular musical instrument.
-
E.
hasMusicalInstrument
Indicates that one entity possesses, uses, or is associated with a particular musical instrument.
- 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_69f01d85be388190b669a0e401e2f2c4 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f707f7959881908f037f0d6b1d0c36 |
completed | May 3, 2026, 8:31 a.m. |
| PD | Predicate disambiguation | batch_69f700fc274c8190a128593dc7c7abd0 |
completed | May 3, 2026, 8:02 a.m. |
Created at: April 28, 2026, 5:01 a.m.