Triple
T16834116
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christie Devon |
E409226
|
entity |
| Predicate | fictionalCentury |
P89404
|
FINISHED |
| Object | 19th century |
—
|
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: 19th century | Statement: [Christie Devon, fictionalCentury, 19th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fictionalCentury Context triple: [Christie Devon, fictionalCentury, 19th century]
-
A.
fictionalCenturyOfOrigin
chosen
Indicates the fictional century in which an entity is depicted as having originated or first appeared within its narrative world.
-
B.
fictionalEra
Indicates the time period or age within a fictional or imaginary setting in which an entity exists or an event occurs.
-
C.
originalCentury
Indicates the century in which something was originally created, produced, or came into existence.
-
D.
century
Indicates that an entity is associated with, occurs in, or belongs to a particular 100-year time period.
-
E.
lostCentury
Indicates that a particular century or era has been forgotten, obscured, or is missing from records or collective knowledge.
- 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_69d883952b048190887740a980b712ed |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b31981ac8190bbd9720efe842778 |
completed | April 18, 2026, 4:36 p.m. |
| PD | Predicate disambiguation | batch_69e32b87b4248190aaddb05e88452356 |
completed | April 18, 2026, 6:58 a.m. |
Created at: April 10, 2026, 5:23 a.m.