Triple
T4063426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I died for Beauty—but was scarce |
E86267
|
entity |
| Predicate | interpretation |
P4529
|
FINISHED |
| Object | implies that beauty and truth are closely related ideals |
—
|
LITERAL FINISHED |
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: implies that beauty and truth are closely related ideals | Statement: [I died for Beauty—but was scarce, interpretation, implies that beauty and truth are closely related ideals]
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_69aed93c69208190a4efac0efe3cd69b |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefbd7896c81909c61ed0d910d9c5f |
completed | March 9, 2026, 4:56 p.m. |
Created at: March 9, 2026, 3:38 p.m.