Triple
T29108353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Differentiable Neural Computers |
E736824
|
entity |
| Predicate | firstAuthorOfOriginalPaper |
P36855
|
FINISHED |
| Object | Alex Graves |
—
|
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: Alex Graves | Statement: [Differentiable Neural Computers, firstAuthorOfOriginalPaper, Alex Graves]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstAuthorOfOriginalPaper Context triple: [Differentiable Neural Computers, firstAuthorOfOriginalPaper, Alex Graves]
-
A.
firstPublicationAuthor
Indicates that the subject is the author responsible for the first publication of the object.
-
B.
firstPublicationAuthorName
Indicates the name of the author who wrote the work’s first published edition.
-
C.
editorOfFirstFullPublication
Indicates that a person served as the editor responsible for the first complete or full publication of a given work.
-
D.
firstAuthorUse
Indicates that the referenced entity is used or cited specifically as the first (primary) author in a work or context.
-
E.
originalAuthorOfSource
chosen
Indicates that an entity is the original creator or author of a given source or 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_69f077ec765c81909474c88bcc8bab43 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_6a008d6085508190a71c52cd028a6297 |
completed | May 10, 2026, 1:51 p.m. |
| PD | Predicate disambiguation | batch_6a008ced31448190b8fc60bf87b40647 |
completed | May 10, 2026, 1:49 p.m. |
Created at: April 28, 2026, 11:17 a.m.