Triple
T37736594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jingde chuandeng lu |
E940292
|
entity |
| Predicate | compiledInReignOf |
P27998
|
FINISHED |
| Object | Emperor Zhenzong of Song |
—
|
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: Emperor Zhenzong of Song | Statement: [Jingde chuandeng lu, compiledInReignOf, Emperor Zhenzong of Song]
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_69f76edefd048190a32212c5c3919531 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbae9b1dd4819081074012f0a7a681 |
completed | May 6, 2026, 9:11 p.m. |
Created at: May 3, 2026, 4:18 p.m.