Triple
T29778984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ye Xian |
E755456
|
entity |
| Predicate | earliestTextualSourceAuthor |
P89464
|
FINISHED |
| Object | Duan Chengshi |
—
|
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: Duan Chengshi | Statement: [Ye Xian, earliestTextualSourceAuthor, Duan Chengshi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: earliestTextualSourceAuthor Context triple: [Ye Xian, earliestTextualSourceAuthor, Duan Chengshi]
-
A.
earliestTextsIn
Indicates that certain texts are among the earliest known examples found in or associated with a particular place or context.
-
B.
earliestCompilationAttributedTo
chosen
Indicates that one entity is regarded as the earliest known or first compilation associated with, or attributed to, another entity.
-
C.
earliestFullSource
Indicates that one entity is the earliest (in time or order) complete source or origin for another entity.
-
D.
earliestManuscripts
Indicates that the related entity (e.g., a text or work) is associated with its earliest known surviving manuscripts or documentary witnesses.
-
E.
earliestConstructionAttributedTo
Indicates that one entity is recognized as the earliest known construction project or built work attributed to another entity (such as a person, group, or organization).
- 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_69f0ef878574819088c867fd1a5c8b86 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69f6fb19063c81909466b329655c8583 |
completed | May 3, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69f6f969b4cc8190afb473a2d8b110bc |
completed | May 3, 2026, 7:29 a.m. |
Created at: April 28, 2026, 8:48 p.m.