Triple
T15479014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Time: The Refreshing River |
E376862
|
entity |
| Predicate | fieldOfAuthor |
P102843
|
FINISHED |
| Object | biochemistry |
—
|
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: biochemistry | Statement: [Time: The Refreshing River, fieldOfAuthor, biochemistry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fieldOfAuthor Context triple: [Time: The Refreshing River, fieldOfAuthor, biochemistry]
-
A.
academicFieldOfAuthor
chosen
Indicates the academic discipline or field in which an author conducts their scholarly work or produces publications.
-
B.
fieldOfPublication
Indicates the academic or topical area in which a work is published.
-
C.
genreOfWorkHeWrites
Indicates that a person is an author who writes works belonging to a particular genre.
-
D.
fieldOfWriting
Indicates that one entity is the domain, genre, or subject area in which another entity writes or produces written work.
-
E.
authorIsKnownFor
Indicates that a particular author is widely recognized or notable for a specific work, genre, contribution, or characteristic.
- 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_69d85cd21dcc81908646251b1c26ea00 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f8a77a081909f12f13660452f4a |
completed | April 16, 2026, 1:46 a.m. |
| PD | Predicate disambiguation | batch_69ded2874b788190999158e0f043be21 |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 3:34 a.m.