Triple
T27481997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Am a Cat |
E693625
|
entity |
| Predicate | isPartOfAuthorCareer |
P32031
|
FINISHED |
| Object | early major work of Natsume Sōseki |
—
|
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: early major work of Natsume Sōseki | Statement: [I Am a Cat, isPartOfAuthorCareer, early major work of Natsume Sōseki]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPartOfAuthorCareer Context triple: [I Am a Cat, isPartOfAuthorCareer, early major work of Natsume Sōseki]
-
A.
partOfAuthorBibliography
Indicates that a work is included in the set of publications that make up an author's bibliography.
-
B.
workInAuthorCareer
chosen
Indicates that an author’s professional work or role occurs within and is part of their overall writing career.
-
C.
workPeriodOfAuthorDescribed
Indicates that the time period during which an author was active or produced work is being described.
-
D.
hasAuthorOccupationOfAuthor
Indicates that an author has a specific occupation or professional role.
-
E.
hasAuthorOfKeyWork
Indicates that an entity serves as the author or creator of a significant or primary work associated with another entity.
- 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_69ef5381f2648190a2392d0fab833095 |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69fba2877b248190a974eb092243c0c4 |
completed | May 6, 2026, 8:20 p.m. |
| PD | Predicate disambiguation | batch_69fb8d06a1b48190a937aa410d159dfa |
completed | May 6, 2026, 6:48 p.m. |
Created at: April 27, 2026, 1 p.m.