Triple
T37515181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scion |
E932615
|
entity |
| Predicate | ascendancyType |
P188697
|
FINISHED |
| Object | hybrid ascendancy |
—
|
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: hybrid ascendancy | Statement: [Scion, ascendancyType, hybrid ascendancy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ascendancyType Context triple: [Scion, ascendancyType, hybrid ascendancy]
-
A.
ascendancyClassType
chosen
Indicates the specific subclass or specialization category to which an entity’s ascendancy belongs.
-
B.
ascendancyClass
Indicates a hierarchical or rank-based classification that specifies an entity’s superior or dominant status relative to others.
-
C.
ascendancyTricksterFocus
Indicates that an entity’s primary specialization or focus is on the Trickster ascendancy path or role.
-
D.
typeOfEmpire
Indicates the specific kind or classification of empire that an entity belongs to or represents.
-
E.
ascendedTo
Indicates that one entity rose, climbed, or moved upward to reach the position, level, or location 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_69f76ec730988190b5aa4f9cb9afd518 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcab6e888881908ca9e18660928a40 |
completed | May 7, 2026, 3:10 p.m. |
| PD | Predicate disambiguation | batch_69fc4562a5b88190bad48f083a6dcdfa |
completed | May 7, 2026, 7:55 a.m. |
Created at: May 3, 2026, 4:17 p.m.