Triple
T8620211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Born with the Dead |
E204143
|
entity |
| Predicate | partOfAuthorGenreSpecialty |
P12590
|
FINISHED |
| Object | Robert Silverberg science fiction works |
—
|
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: Robert Silverberg science fiction works | Statement: [Born with the Dead, partOfAuthorGenreSpecialty, Robert Silverberg science fiction works]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfAuthorGenreSpecialty Context triple: [Born with the Dead, partOfAuthorGenreSpecialty, Robert Silverberg science fiction works]
-
A.
authorGenre
Indicates the relationship between an author and the literary genre(s) in which they write or are associated with.
-
B.
authorIsKnownFor
Indicates that a particular author is widely recognized or notable for a specific work, genre, contribution, or characteristic.
-
C.
partOfAuthorBibliography
Indicates that a work is included in the set of publications that make up an author's bibliography.
-
D.
notableWorkGenre
chosen
Indicates that a particular work is recognized as notable for an entity and specifies the genre to which that work belongs.
-
E.
authorOccupation
Indicates the professional role or job that an author holds or is associated with.
- 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_69ca832ceab8819096e4a9f546695079 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc47167b188190b5d9a113db9b9511 |
completed | March 31, 2026, 10:13 p.m. |
| PD | Predicate disambiguation | batch_69cc455437488190b7506f820daf6e32 |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:26 p.m.