Triple
T4381611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ralph Merkle |
E99141
|
entity |
| Predicate | hasPublicationTopic |
P50066
|
FINISHED |
| Object | public-key cryptography |
—
|
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: public-key cryptography | Statement: [Ralph Merkle, hasPublicationTopic, public-key cryptography]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPublicationTopic Context triple: [Ralph Merkle, hasPublicationTopic, public-key cryptography]
-
A.
hasPublication
Indicates that an entity is associated with or responsible for a specific publication.
-
B.
publishesOnTopic
chosen
Indicates that an entity (such as a person or organization) produces and releases content whose subject matter concerns a specified topic.
-
C.
hasNotablePublicationType
Indicates that an entity is associated with a publication of a specific notable type or category.
-
D.
hasPublicationSeries
Indicates that an entity is part of, or associated with, a particular publication series.
-
E.
hasPublisher
Indicates that an entity is published or issued by a specific publisher.
- 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_69b3454ea8f48190a49c2436624d6ef6 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b352613dd481909e008a8db239a108 |
completed | March 12, 2026, 11:55 p.m. |
| PD | Predicate disambiguation | batch_69b34f557fe8819085032bf7f0cea5dc |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:18 p.m.