Triple
T23253973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lamb |
E581812
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object | Górecki |
—
|
NE NERFINISHED |
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: Górecki | Statement: [Lamb, notableSong, Górecki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Górecki Context triple: [Lamb, notableSong, Górecki]
-
A.
Henryk Mikołaj Górecki
chosen
Henryk Mikołaj Górecki was a Polish composer best known internationally for his emotionally powerful Symphony No. 3, often called the "Symphony of Sorrowful Songs."
-
B.
Krzysztof Penderecki
Krzysztof Penderecki was a renowned Polish composer and conductor, celebrated for his innovative and often avant-garde orchestral and choral works that made him one of the leading figures in contemporary classical music.
-
C.
Witold Lutosławski
Witold Lutosławski was a prominent 20th-century Polish composer known for his innovative orchestral works and use of controlled aleatoricism.
-
D.
Rondo Daszyńskiego
Rondo Daszyńskiego is a major road roundabout and transport hub in Warsaw, Poland, located in the Wola district.
-
E.
Wojciech Kilar
Wojciech Kilar was a renowned Polish composer best known for his evocative film scores and modern classical works, including music for internationally acclaimed movies.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e24606b17c81908aba1a4911c8a8ba |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f193f9d904819097315c9bf031f667 |
completed | April 29, 2026, 5:15 a.m. |
Created at: April 17, 2026, 4:11 p.m.