Triple
T1626197
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cui Hao |
E35148
|
entity |
| Predicate | poeticSchool |
P15584
|
FINISHED |
| Object | court-centered High Tang poetry |
—
|
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: court-centered High Tang poetry | Statement: [Cui Hao, poeticSchool, court-centered High Tang poetry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: poeticSchool Context triple: [Cui Hao, poeticSchool, court-centered High Tang poetry]
-
A.
choreographicSchool
Indicates that one entity is a school, tradition, or style of choreography associated with the other entity.
-
B.
hasArtisticSchool
chosen
Indicates that an entity is associated with, belongs to, or is characterized by a particular artistic school or style.
-
C.
poet
Indicates that an entity creates poetry or is recognized for engaging in the activity of writing poems.
-
D.
hasFictionalSchool
Indicates that an entity is associated with or contains a school that exists only within a fictional or imaginary context.
-
E.
literaryTradition
Indicates a relationship where a work, practice, or expression belongs to, arises from, or participates in a particular established body of literary customs, styles, or conventions.
- 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_69a886023194819080a3fccd6e325d0e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a9431af5ac8190893133f1ae490142 |
completed | March 5, 2026, 8:47 a.m. |
| PD | Predicate disambiguation | batch_69a907c91c888190b6ed295c1a2e0977 |
completed | March 5, 2026, 4:34 a.m. |
Created at: March 4, 2026, 7:28 p.m.