Triple
T11822602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bleak House |
E281175
|
entity |
| Predicate | firstTelevisionAdaptationYear |
P50486
|
FINISHED |
| Object | 1959 |
—
|
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: 1959 | Statement: [Bleak House, firstTelevisionAdaptationYear, 1959]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstTelevisionAdaptationYear Context triple: [Bleak House, firstTelevisionAdaptationYear, 1959]
-
A.
televisionPremiereYear
chosen
Indicates the calendar year in which a television show or program was first premiered or originally broadcast.
-
B.
firstStageAdaptationYear
Indicates the year in which a work was first adapted into a stage production.
-
C.
firstNationalTelecastYear
Indicates the year in which something was first broadcast on national television.
-
D.
firstEpisodeSettingYear
Indicates the calendar year in which the first episode of a series or show is set.
-
E.
originallyPremieredInYear
Indicates the calendar year in which something (such as a work, show, or event) first premiered or was initially released.
- 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_69d6ab276f8c8190b1966a0ef11349ac |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a5e9c50481909b2287a0b23d2094 |
completed | April 10, 2026, 7:25 a.m. |
| PD | Predicate disambiguation | batch_69d8a251fc08819095933f1d13c3b742 |
completed | April 10, 2026, 7:10 a.m. |
Created at: April 8, 2026, 9:42 p.m.