Triple
T14706730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Armageddon Rag |
E345446
|
entity |
| Predicate | inAuthorCareer |
P32031
|
FINISHED |
| Object | commercial disappointment for George R. R. Martin |
—
|
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: commercial disappointment for George R. R. Martin | Statement: [The Armageddon Rag, inAuthorCareer, commercial disappointment for George R. R. Martin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inAuthorCareer Context triple: [The Armageddon Rag, inAuthorCareer, commercial disappointment for George R. R. Martin]
-
A.
workInAuthorCareer
chosen
Indicates that an author’s professional work or role occurs within and is part of their overall writing career.
-
B.
authorOccupation
Indicates the professional role or job that an author holds or is associated with.
-
C.
laterCareerWorkOf
Indicates that one work represents a creator’s later career output in relation to another work or to their overall body of work.
-
D.
managedCareerOf
Indicates that one entity was responsible for overseeing, directing, or handling the professional career of another entity.
-
E.
describesCareerOf
Indicates that one entity provides a description or characterization of the professional career of 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_69d822e4a8c08190a155df736bb7bc13 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb6086c608190a66c64e23a3e002f |
completed | April 14, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69de657c57ec8190ae0b9bb79a514566 |
completed | April 14, 2026, 4:04 p.m. |
Created at: April 10, 2026, 1:28 a.m.