Triple
T14506264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cycles of Time |
E340270
|
entity |
| Predicate | writtenByNationality |
P6689
|
FINISHED |
| Object | British author |
—
|
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: British author | Statement: [Cycles of Time, writtenByNationality, British author]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: writtenByNationality Context triple: [Cycles of Time, writtenByNationality, British author]
-
A.
authorNationality
chosen
Indicates the relationship between an author and the country or nationality with which that author is identified.
-
B.
writtenInCountry
Indicates that a written work was created, authored, or composed within the geographical boundaries of a specific country.
-
C.
creatorNationality
Indicates that the creator of an entity has a specified national affiliation or citizenship.
-
D.
coAuthorNationality
Indicates that two or more co-authors of a work share the same nationality or have nationalities being related in the context of their co-authorship.
-
E.
writtenByCulture
Indicates that something (such as a text, work, or artifact) is authored, created, or produced by a particular culture or cultural group.
- 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_69d822d9c0408190b9a2b3643e58bb4d |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69de94e25a2481908b8394e9a19f3b64 |
completed | April 14, 2026, 7:26 p.m. |
| PD | Predicate disambiguation | batch_69de5c4ccba08190a988bfda0bc9f5cb |
completed | April 14, 2026, 3:25 p.m. |
Created at: April 10, 2026, 1:21 a.m.