Triple
T30608608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Last Days of Night |
E779114
|
entity |
| Predicate | timeframeDepictedStart |
P87192
|
FINISHED |
| Object | 1880s |
—
|
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: 1880s | Statement: [The Last Days of Night, timeframeDepictedStart, 1880s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeframeDepictedStart Context triple: [The Last Days of Night, timeframeDepictedStart, 1880s]
-
A.
startTimeDepicted
chosen
Indicates that the subject visually represents the starting time of an event, process, or state.
-
B.
timePeriodAnalyzedStart
Indicates the starting point in time from which a given period is examined or analyzed.
-
C.
chronologyStart
Indicates the point in time at which a sequence, event, or temporal record begins.
-
D.
depictionOfTime
Indicates that one entity visually represents or symbolizes a specific moment, period, or progression of time associated with another entity.
-
E.
depictedSince
Indicates that an entity has been depicted or represented in some medium starting from a specific point in time.
- 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_69f224a21fc08190abd9d8dd9eb6bb4c |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68a16debc8190a12f5f65ced055d7 |
completed | May 2, 2026, 11:34 p.m. |
| PD | Predicate disambiguation | batch_69f6860def1c81909d79e1f088c4b5e5 |
completed | May 2, 2026, 11:17 p.m. |
Created at: April 29, 2026, 8:26 p.m.