Triple
T26018524
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guy Carleton, 1st Baron Dorchester |
E647087
|
entity |
| Predicate | yearOfTitleCreation |
P87128
|
FINISHED |
| Object | 1786 |
—
|
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: 1786 | Statement: [Guy Carleton, 1st Baron Dorchester, yearOfTitleCreation, 1786]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearOfTitleCreation Context triple: [Guy Carleton, 1st Baron Dorchester, yearOfTitleCreation, 1786]
-
A.
yearTitleCreated
chosen
Indicates the year in which the referenced title (such as a work, document, or creative piece) was originally created.
-
B.
titleYear
Indicates the specific year associated with the release, publication, or official designation of a given title.
-
C.
hasYearInTitle
Indicates that the title of an entity explicitly contains a year value as part of its text.
-
D.
worldTitleYear
Indicates that a work holds a world title associated with a specific year.
-
E.
yearInception
Indicates the year in which something (such as an entity, event, or organization) was first established, created, or began.
- 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_69e77e8aa65881909ca58918f29ab2a0 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f69edbb7648190bd89c57e0932eac1 |
completed | May 3, 2026, 1:03 a.m. |
| PD | Predicate disambiguation | batch_69f69d17e8d48190b30bcc2f4bd81eb2 |
completed | May 3, 2026, 12:55 a.m. |
Created at: April 22, 2026, 9:03 a.m.