Triple
T36786818
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mr. Brittain |
E908937
|
entity |
| Predicate | existsInFictionalTimePeriod |
P186300
|
FINISHED |
| Object | Edwardian era |
—
|
NE NERFINISHED |
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: Edwardian era | Statement: [Mr. Brittain, existsInFictionalTimePeriod, Edwardian era]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: existsInFictionalTimePeriod Context triple: [Mr. Brittain, existsInFictionalTimePeriod, Edwardian era]
-
A.
endsInFictionalYear
Indicates that an event, story, or timeline concludes in a year that exists only within a fictional or imagined setting.
-
B.
activeInFictionalYear
Indicates that an entity is active or operating during a specified fictional or imaginary year within a narrative or fictional timeline.
-
C.
isSetInFictionalUniverse
Indicates that a narrative work takes place within a specific fictional universe or setting.
-
D.
basedOnFictionalDateIn
Indicates that something is derived from, inspired by, or determined using a fictional date occurring within a specified work, timeline, or fictional context.
-
E.
hasFictionalTimeAfter
Indicates that one fictional time point or period occurs later than another within a narrative or imagined timeline.
- F. None of above. chosen
Provenance (4 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_69f76e7a937c81909ed7359641e670f6 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f7cabdd2d88190be1c8de7e499cb83 |
completed | May 3, 2026, 10:22 p.m. |
| PD | Predicate disambiguation | batch_69f7c89b528c8190bf80b230fc7c7108 |
completed | May 3, 2026, 10:13 p.m. |
| PDg | Predicate description generation | batch_69f7ca91f1808190b2a05c4b691da0bb |
completed | May 3, 2026, 10:22 p.m. |
Created at: May 3, 2026, 4:12 p.m.