Triple
T472373
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ian Goodfellow |
E8585
|
entity |
| Predicate | hasCitationImpact |
P13420
|
FINISHED |
| Object | highly cited researcher in deep learning |
—
|
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: highly cited researcher in deep learning | Statement: [Ian Goodfellow, hasCitationImpact, highly cited researcher in deep learning]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCitationImpact Context triple: [Ian Goodfellow, hasCitationImpact, highly cited researcher in deep learning]
-
A.
citesAs
Indicates that one entity references or acknowledges another as a source of information, authority, or evidence.
-
B.
citationNumber
Indicates the specific numeric identifier assigned to a citation within a document or reference list.
-
C.
citationBy
Indicates that one work is cited or referenced by another work.
-
D.
isPioneeringScientificJournal
Indicates that a scientific journal is among the first or most innovative in introducing new research areas, methods, or ideas within its field.
-
E.
hasRelatedPublication
Indicates that an entity is associated with one or more publications that are relevant or connected to it in content, context, or subject matter.
- F. None of above. chosen
Provenance (4 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_69a2e7f3aeb48190a19453e3a043f486 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2eff24108819092fdb85019ec4089 |
completed | Feb. 28, 2026, 1:38 p.m. |
| PD | Predicate disambiguation | batch_69a2edecefb081908331ef8b9edf6636 |
completed | Feb. 28, 2026, 1:30 p.m. |
| PDg | Predicate description generation | batch_69a2eeba8a488190986cc7381332f783 |
completed | Feb. 28, 2026, 1:33 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.