Triple
T5367321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kingdom of the Golden Dragon |
E103160
|
entity |
| Predicate | hasProtagonistSpecies |
P39813
|
FINISHED |
| Object | human |
—
|
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: human | Statement: [Kingdom of the Golden Dragon, hasProtagonistSpecies, human]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasProtagonistSpecies Context triple: [Kingdom of the Golden Dragon, hasProtagonistSpecies, human]
-
A.
protagonistSpecies
chosen
Indicates that an entity is the species or kind of creature to which the protagonist of a story or scenario belongs.
-
B.
hasProtagonist
Indicates that a work of narrative has a main character who serves as its central focus or driving agent.
-
C.
fictionalSpecies
Indicates that the subject is a species that exists only in fiction or imaginary works, rather than in real life.
-
D.
protagonistEthnicity
Indicates the ethnic background or cultural heritage associated with a work’s main character.
-
E.
isGameSpecies
Indicates that an animal species is legally designated and managed as a target for hunting or harvesting.
- 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_69bd43daa3e4819090b59d127db70e57 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd8684103081908ed79625b59e4b24 |
completed | March 20, 2026, 5:40 p.m. |
| PD | Predicate disambiguation | batch_69bd845f41f88190b75b8b64b9e41862 |
completed | March 20, 2026, 5:31 p.m. |
Created at: March 20, 2026, 2:02 p.m.