Triple
T30476665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lao Dan |
E775460
|
entity |
| Predicate | traditionReports |
P195500
|
FINISHED |
| Object | served as an archivist of the Zhou court |
—
|
LITERAL FINISHED |
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: served as an archivist of the Zhou court | Statement: [Lao Dan, traditionReports, served as an archivist of the Zhou court]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: traditionReports Context triple: [Lao Dan, traditionReports, served as an archivist of the Zhou court]
-
A.
citesTradition
Indicates that one entity references, appeals to, or draws authority from a tradition associated with another entity.
-
B.
establishedTradition
Indicates that something has become a customary, long-standing practice or convention that is regularly followed within a group, culture, or context.
-
C.
traditionSince
Indicates that a tradition has been continuously practiced or recognized starting from a specified point in time.
-
D.
traditionIncludes
Indicates that a particular tradition encompasses, contains, or is composed of a specified element, practice, or component.
-
E.
mainTradition
Indicates that one entity represents the primary or dominant tradition associated with another entity.
- F. None of above. chosen
Provenance (4 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_69f22497341481909c21ba329fadaa6b |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fdd5fba5048190b7d430ae2054a1fd |
completed | May 8, 2026, 12:24 p.m. |
| PD | Predicate disambiguation | batch_69fdd35f76f88190a1854ea27132f9c7 |
completed | May 8, 2026, 12:13 p.m. |
| PDg | Predicate description generation | batch_69fdd5faea908190a17d77e050362ef5 |
completed | May 8, 2026, 12:24 p.m. |
Created at: April 29, 2026, 8:12 p.m.