Triple
T8707982
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Victory Unintentional |
E206697
|
entity |
| Predicate | workChronologyInAuthorCareer |
P57383
|
FINISHED |
| Object | early Asimov short fiction |
—
|
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 Asimov short fiction | Statement: [Victory Unintentional, workChronologyInAuthorCareer, early Asimov short fiction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workChronologyInAuthorCareer Context triple: [Victory Unintentional, workChronologyInAuthorCareer, early Asimov short fiction]
-
A.
workInChronologyOfAuthor
chosen
Indicates that a work appears within, and is ordered as part of, the chronological sequence of an author's creations or publications.
-
B.
workInAuthorCareer
Indicates that an author’s professional work or role occurs within and is part of their overall writing career.
-
C.
notableWorkPeriod
Indicates the time span during which an entity produced or was associated with its most significant or well-known works.
-
D.
workChronicles
Indicates that one entity documents, records, or narrates the work-related activities, history, or experiences of another entity.
-
E.
authorLifespanContext
Indicates the temporal or historical context of an author’s life span in relation to other events, periods, or entities.
- 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_69ca835645e881908f00e3c8b51da81d |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc58ffa6a481908866b6239d1d9b92 |
completed | March 31, 2026, 11:30 p.m. |
| PD | Predicate disambiguation | batch_69cc456bda508190a9aa0fb92760739e |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:35 p.m.