Triple
T33805758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles Dickens: A Life |
E866381
|
entity |
| Predicate | timePeriodDescribedEnd |
P170677
|
FINISHED |
| Object | 1870 |
—
|
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: 1870 | Statement: [Charles Dickens: A Life, timePeriodDescribedEnd, 1870]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timePeriodDescribedEnd Context triple: [Charles Dickens: A Life, timePeriodDescribedEnd, 1870]
-
A.
timePeriodEndApprox
Indicates that the associated time period ends at an approximate, rather than exact, point in time.
-
B.
endAt
Indicates that an event, process, or state concludes or terminates at a specified time, location, or condition.
-
C.
typicallyEndsAt
Indicates that an event, process, or activity most commonly or usually concludes at a particular time, place, or state.
-
D.
periodDepictedEnd
chosen
Indicates the time period or date at which the depicted event, scene, or situation comes to an end.
-
E.
timeIntervalEndDefined
Indicates that the end point of a time interval is explicitly specified or determined.
- 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_69f3499057fc81909d862b1309a3bd71 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f9fd6834cc8190aa27153d6a99f3bb |
completed | May 5, 2026, 2:23 p.m. |
| PD | Predicate disambiguation | batch_69f7cf769338819092a5f42653dcc956 |
completed | May 3, 2026, 10:43 p.m. |
Created at: May 1, 2026, 1:46 a.m.