Triple
T7947635
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liu Bei |
E184534
|
entity |
| Predicate | cultureHeroIn |
P79031
|
FINISHED |
| Object | Chinese literature |
—
|
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: Chinese literature | Statement: [Liu Bei, cultureHeroIn, Chinese literature]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cultureHeroIn Context triple: [Liu Bei, cultureHeroIn, Chinese literature]
-
A.
culturalKnowledge
Indicates that one entity possesses or conveys understanding of the customs, practices, values, or traditions associated with a particular culture.
-
B.
cultureCharacteristic
Indicates that a particular trait, practice, or feature is a defining characteristic of a given culture.
-
C.
cultureDepicted
Indicates that one entity portrays, represents, or is associated with the culture of another entity.
-
D.
culturalHeritageOf
Indicates that something serves as the cultural heritage belonging to, originating from, or strongly associated with a particular entity or group.
-
E.
popularCultureTrait
Indicates that an entity exhibits a characteristic, behavior, or element that is commonly recognized or influential within popular culture.
- 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_69ca8291c2008190b1b8832c87814bcf |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b2abdbc819085ae53826d36af3b |
completed | March 31, 2026, 3:10 a.m. |
| PD | Predicate disambiguation | batch_69cae9361bc48190886b7681e563d46b |
completed | March 30, 2026, 9:20 p.m. |
| PDg | Predicate description generation | batch_69caf632a924819086ac2336165f8da9 |
completed | March 30, 2026, 10:16 p.m. |
Created at: March 30, 2026, 5:09 p.m.