Triple
T4746776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Island |
E105377
|
entity |
| Predicate | workNumberInAuthorOeuvre |
P19302
|
FINISHED |
| Object | final novel by Aldous Huxley |
—
|
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: final novel by Aldous Huxley | Statement: [Island, workNumberInAuthorOeuvre, final novel by Aldous Huxley]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workNumberInAuthorOeuvre Context triple: [Island, workNumberInAuthorOeuvre, final novel by Aldous Huxley]
-
A.
numberOfWorks
Indicates the total count of works associated with a given entity.
-
B.
workOfAuthorOf
Indicates that one entity is a work (such as a book, article, or artwork) created by the author associated with another entity.
-
C.
positionInAuthorOeuvre
chosen
Indicates the relative placement or order of a work within an author's overall body of work.
-
D.
numberOfWorksCreated
Indicates the total count of creative works that an entity has produced or authored.
-
E.
yearWorkWritten
Indicates the year in which a particular work was written or created.
- 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_69bd43ef87a48190a5bc3600711aa032 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd64c3fcb081909b1fe867b4adac8b |
completed | March 20, 2026, 3:16 p.m. |
| PD | Predicate disambiguation | batch_69bd6223defc8190823665a6592c1154 |
completed | March 20, 2026, 3:05 p.m. |
Created at: March 20, 2026, 1:20 p.m.