Triple
T5928816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christabel |
E131882
|
entity |
| Predicate | secondPartWrittenInYear |
P33640
|
FINISHED |
| Object | 1800 |
—
|
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: 1800 | Statement: [Christabel, secondPartWrittenInYear, 1800]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondPartWrittenInYear Context triple: [Christabel, secondPartWrittenInYear, 1800]
-
A.
secondSeriesPublicationYear
chosen
Indicates the year in which the second series or installment of a work was published.
-
B.
laterWrittenIn
Indicates that one text or version was written at a later time than another, establishing a chronological order between the writings.
-
C.
firstPartPublicationYear
Indicates the year in which the first part or installment of a multi-part publication was released.
-
D.
thirdPartPublicationYear
Indicates the year in which the third part of a multi-part work was published.
-
E.
secondPartFormat
Indicates that the entity represents the format or structure of the second part or segment of a larger item or sequence.
- 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_69c0085b75e88190a632f9691f9da48b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03c9239e08190bff7ef2bd6d21ae0 |
completed | March 22, 2026, 7:01 p.m. |
| PD | Predicate disambiguation | batch_69c033541d108190a34d1fde2fe9dacb |
completed | March 22, 2026, 6:22 p.m. |
Created at: March 22, 2026, 4 p.m.