Triple
T37774095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madame d'Arblay |
E941636
|
entity |
| Predicate | CamillaPublicationYear |
P189024
|
FINISHED |
| Object | 1796 |
—
|
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: 1796 | Statement: [Madame d'Arblay, CamillaPublicationYear, 1796]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: CamillaPublicationYear Context triple: [Madame d'Arblay, CamillaPublicationYear, 1796]
-
A.
lastPublicationYear
Indicates the year in which an entity’s most recent publication was released.
-
B.
textPublicationApproxYear
Indicates that a text was published around a specified year, with the year representing an approximate rather than exact publication date.
-
C.
folioPublicationYear
Indicates the year in which a particular folio was published.
-
D.
publicationDate (The Most Beautiful: My Life with Prince)
Indicates the date on which “The Most Beautiful: My Life with Prince” was formally published or released.
-
E.
novelReleaseYear
Indicates the calendar year in which a novel was first released or published.
- 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_69f76ee4431881908f87e8892a9f39f3 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbaf48ba148190a8bdfd6846ad0540 |
completed | May 6, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69fbadf632ec8190b14991c971258307 |
completed | May 6, 2026, 9:09 p.m. |
| PDg | Predicate description generation | batch_69fbaeef9c488190babb546b962b4fb6 |
completed | May 6, 2026, 9:13 p.m. |
Created at: May 3, 2026, 4:19 p.m.