Triple
T35975101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Balfour |
E1040389
|
entity |
| Predicate | publicationYearOfWorkFirstAppearance |
P78407
|
FINISHED |
| Object | 1886 |
—
|
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: 1886 | Statement: [David Balfour, publicationYearOfWorkFirstAppearance, 1886]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: publicationYearOfWorkFirstAppearance Context triple: [David Balfour, publicationYearOfWorkFirstAppearance, 1886]
-
A.
firstPublicationYearOfAppearance
chosen
Indicates the year in which an entity (such as a work or character) first appeared in a published form.
-
B.
yearOfFirstApparition
Indicates the calendar year in which the entity first appeared or was introduced.
-
C.
firstPublishedInWorkYear
Indicates the year in which a work was first published.
-
D.
firstCompletePublicationYear
Indicates the calendar year in which an entity’s first complete publication was released.
-
E.
workDateOfFirstAppearance
Indicates the date on which a work first appeared, was released, or was made publicly available.
- 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_69f76e27758c81909b711cf38a130aaf |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ff891e4b9c8190aa86a339a8944496 |
completed | May 9, 2026, 7:21 p.m. |
| PD | Predicate disambiguation | batch_69ff8801180c8190b23e20996ca68e0a |
completed | May 9, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:07 p.m.