Triple
T12185081
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Who Goes There? |
E290312
|
entity |
| Predicate | authorRoleOfJohnWCampbell |
P938
|
FINISHED |
| Object | editor of Astounding Science-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: editor of Astounding Science-Fiction | Statement: [Who Goes There?, authorRoleOfJohnWCampbell, editor of Astounding Science-Fiction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: authorRoleOfJohnWCampbell Context triple: [Who Goes There?, authorRoleOfJohnWCampbell, editor of Astounding Science-Fiction]
-
A.
goldenAgeOfScienceFictionRole
Indicates that an entity plays a specific role or has a particular function within the Golden Age of Science Fiction.
-
B.
roleOfBrian C. Cornell
Indicates that the specified role or position is held by Brian C. Cornell.
-
C.
authorOccupation
chosen
Indicates the professional role or job that an author holds or is associated with.
-
D.
authorFather
Indicates that one entity is the father of another entity who is the author of a work.
-
E.
authorTraditionallyAscribedTo
Indicates that authorship of a work is customarily or historically attributed to an entity, even if definitive proof of authorship may be uncertain or disputed.
- 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_69d6ab64de5881908d56eb7a75c6cc69 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91a83012c81908d04bbab5fdcd8c2 |
completed | April 10, 2026, 3:42 p.m. |
| PD | Predicate disambiguation | batch_69d91510a258819090ef8fbdc2d8707b |
completed | April 10, 2026, 3:19 p.m. |
Created at: April 8, 2026, 9:50 p.m.