Triple
T37812083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Stone Flower |
E942672
|
entity |
| Predicate | followsWork |
P9710
|
FINISHED |
| Object | The Stone Flower (ballet score by Sergei Prokofiev) |
—
|
NE NERFINISHED |
How this triple was built (1 step)
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: The Stone Flower (ballet score by Sergei Prokofiev) | Statement: [The Stone Flower, followsWork, The Stone Flower (ballet score by Sergei Prokofiev)]
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_69f76ee8104c8190ab17133ccd8f86e6 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbb19e0c28819091187b8427fc71a8 |
completed | May 6, 2026, 9:24 p.m. |
Created at: May 3, 2026, 4:19 p.m.