Triple
T34938978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | How About This? |
E1007660
|
entity |
| Predicate | workInAuthorCareerPhase |
P57383
|
FINISHED |
| Object | early career of Raymond Carver |
—
|
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 career of Raymond Carver | Statement: [How About This?, workInAuthorCareerPhase, early career of Raymond Carver]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workInAuthorCareerPhase Context triple: [How About This?, workInAuthorCareerPhase, early career of Raymond Carver]
-
A.
workInAuthorCareer
Indicates that an author’s professional work or role occurs within and is part of their overall writing career.
-
B.
workPeriodOfAuthorDescribed
Indicates that the time period during which an author was active or produced work is being described.
-
C.
workInChronologyOfAuthor
chosen
Indicates that a work appears within, and is ordered as part of, the chronological sequence of an author's creations or publications.
-
D.
stageNameOfWriter
Indicates that the specified stage name is the professional or pen name used by the given writer.
-
E.
fictionalCareerStatus
Indicates the relationship between an entity and a career or professional role that exists only in a fictional or imagined context, rather than in real life.
- 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_69f76dc513fc819084a1ff52abbfa5bc |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f782c98fa08190870b68de2c1ff26a |
completed | May 3, 2026, 5:15 p.m. |
| PD | Predicate disambiguation | batch_69f781020cc4819088c40cb8589504e4 |
completed | May 3, 2026, 5:08 p.m. |
Created at: May 3, 2026, 4 p.m.