Triple
T33823351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Years of the City |
E866892
|
entity |
| Predicate | authorOfForewordOrAfterword |
P94184
|
FINISHED |
| Object | Frederik Pohl |
—
|
NE NERFINISHED |
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: Frederik Pohl | Statement: [The Years of the City, authorOfForewordOrAfterword, Frederik Pohl]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: authorOfForewordOrAfterword Context triple: [The Years of the City, authorOfForewordOrAfterword, Frederik Pohl]
-
A.
authorOfForewordOrIntro
chosen
Indicates that one entity is the person who wrote the foreword or introduction for a work associated with the other entity.
-
B.
authorOfAfterwordOrNotes
Indicates that one entity is the author of an afterword or explanatory notes accompanying another entity (such as a work or edition).
-
C.
authorOfPreviousWork
Indicates that one entity is the creator or writer of an earlier work referenced or built upon by another entity.
-
D.
authorDescribedIn
Indicates that information about an author is provided or discussed within a particular document or source.
-
E.
authorOfCompanionWork
Indicates that one entity is the creator or writer of another entity that serves as a companion or supplementary work to a primary work.
- 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_69f34991dd248190a659541588506b3c |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fd864235b481908738dbb69556bc62 |
completed | May 8, 2026, 6:44 a.m. |
| PD | Predicate disambiguation | batch_69fd8373b6bc819091c554f29ee17fec |
completed | May 8, 2026, 6:32 a.m. |
Created at: May 1, 2026, 1:46 a.m.