Triple
T20928571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diary of a Bad Year |
E515407
|
entity |
| Predicate | authorOriginalNationality |
P102930
|
FINISHED |
| Object | South African |
—
|
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: South African | Statement: [Diary of a Bad Year, authorOriginalNationality, South African]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: authorOriginalNationality Context triple: [Diary of a Bad Year, authorOriginalNationality, South African]
-
A.
authorNationality
Indicates the relationship between an author and the country or nationality with which that author is identified.
-
B.
authorOrigin
Indicates that an author has a specific place, region, or country as their origin or background.
-
C.
creatorNationality
Indicates that the creator of an entity has a specified national affiliation or citizenship.
-
D.
originalAuthorLaterNationality
chosen
Indicates that the original author of a work later acquired or changed to the specified nationality.
-
E.
originAuthor
Indicates that an entity is the original creator or author of another entity (such as a work, document, or idea).
- 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_69e0b4fb431c8190b9d40e6a72f0cc87 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6f653a25c8190adb46f5d764afba7 |
completed | April 21, 2026, 4 a.m. |
| PD | Predicate disambiguation | batch_69e5c9af1fe08190953366a466950140 |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 16, 2026, 12:49 p.m.