Triple
T35012498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gideon |
E1009967
|
entity |
| Predicate | inLoreStatus |
P33766
|
FINISHED |
| Object | Long-established city of Black Marsh |
—
|
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: Long-established city of Black Marsh | Statement: [Gideon, inLoreStatus, Long-established city of Black Marsh]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inLoreStatus Context triple: [Gideon, inLoreStatus, Long-established city of Black Marsh]
-
A.
loreStatus
chosen
Indicates the canonical or contextual standing of something within a fictional or narrative universe (such as whether it is official, speculative, or non-canonical lore).
-
B.
in-universeStatus
Indicates the canonical status or role that something holds within the fictional universe or narrative continuity itself.
-
C.
statusInBooks
Indicates the role, condition, or standing that an entity holds within one or more books.
-
D.
hasFolkloreStatus
Indicates that something is recognized or classified as having a status or role within folklore or traditional cultural narratives.
-
E.
statusInComicSeries
Indicates the role or condition a character or entity holds within the context of a specific comic series (e.g., main, supporting, deceased, cameo).
- 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_69f76dcc3ac8819096a3ed52f5fa2523 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f7858aa5508190a07dde993b3356fc |
completed | May 3, 2026, 5:27 p.m. |
| PD | Predicate disambiguation | batch_69f7841812f081909d878955d114088e |
completed | May 3, 2026, 5:21 p.m. |
Created at: May 3, 2026, 4:01 p.m.