Triple
T28244024
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zhaolie Emperor |
E712110
|
entity |
| Predicate | relatedHistoricalNovel |
P195767
|
FINISHED |
| Object | Romance of the Three Kingdoms |
—
|
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: Romance of the Three Kingdoms | Statement: [Zhaolie Emperor, relatedHistoricalNovel, Romance of the Three Kingdoms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relatedHistoricalNovel Context triple: [Zhaolie Emperor, relatedHistoricalNovel, Romance of the Three Kingdoms]
-
A.
historicalNovelAppearance
chosen
Indicates that an entity appears as a character or element within a historical novel.
-
B.
historicalWork
Indicates that one entity is a work (such as a document, artifact, or creation) that originates from or pertains to a past historical period in relation to another entity.
-
C.
historicalGenre
Indicates that something belongs to or is categorized within a particular historical genre.
-
D.
heritageInFiction
Indicates that a work of fiction features or references a particular cultural, national, or historical heritage as part of its narrative or setting.
-
E.
fictionalHistoryFeature
Indicates a relationship where something is a notable element or aspect within the fictional history or backstory of another entity.
- 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_69efb51fb98881909692421959ec0170 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69ffe23081408190a121d901dbce1403 |
completed | May 10, 2026, 1:41 a.m. |
| PD | Predicate disambiguation | batch_69ffe18aed348190912a5996b2da728b |
completed | May 10, 2026, 1:38 a.m. |
Created at: April 27, 2026, 11 p.m.