Triple
T38593484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Angelic Descent |
E932506
|
entity |
| Predicate | loreFlavor |
P167556
|
FINISHED |
| Object | reflects Mercy’s angelic guardian theme |
—
|
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: reflects Mercy’s angelic guardian theme | Statement: [Angelic Descent, loreFlavor, reflects Mercy’s angelic guardian theme]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: loreFlavor Context triple: [Angelic Descent, loreFlavor, reflects Mercy’s angelic guardian theme]
-
A.
loreType
Indicates the category or kind of lore that characterizes or classifies a given entity or subject.
-
B.
loreTrait
chosen
Indicates that an entity possesses a specific lore-related characteristic or attribute within a fictional or narrative context.
-
C.
lore
Indicates that information, stories, or knowledge about something is being told, recorded, or associated with it as part of a larger narrative or tradition.
-
D.
loreFunction
Indicates that something serves a narrative or world-building role within a fictional or informational context.
-
E.
loreTab
Indicates that an entity is associated with a specific lore-related tab or section used to display its background or story information.
- 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_69f76ec654d48190b421111cf26e54d9 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcdfbc71c481908ba7f87907b17782 |
completed | May 7, 2026, 6:53 p.m. |
| PD | Predicate disambiguation | batch_69fcdbe580b8819087f143596b2c79c0 |
completed | May 7, 2026, 6:37 p.m. |
Created at: May 3, 2026, 4:32 p.m.