Triple
T20223225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sonnet 30 |
E495310
|
entity |
| Predicate | frequentTopicOf |
P5303
|
FINISHED |
| Object | literary criticism |
—
|
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: literary criticism | Statement: [Sonnet 30, frequentTopicOf, literary criticism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: frequentTopicOf Context triple: [Sonnet 30, frequentTopicOf, literary criticism]
-
A.
frequentlyDiscussedIn
chosen
Indicates that a topic, subject, or entity is often the focus of conversation, debate, or mention within a particular context or medium.
-
B.
coveredTopics
Indicates that certain subjects or themes have been addressed or included within a discussion, document, or activity.
-
C.
isFrequentlyIncludedIn
Indicates that something is regularly or commonly contained or made part of something else.
-
D.
frequentlyVisitedBy
Indicates that an entity is regularly or often visited by another entity.
-
E.
primaryTopicOf
Indicates that a given subject is the main or central topic described by another resource (such as a document, page, or record).
- 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_69da626cff80819097b530718a7c98b6 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66fd827708190b798a30f4e7d533f |
completed | April 20, 2026, 6:26 p.m. |
| PD | Predicate disambiguation | batch_69e55b18609481909ab28bc8750a642f |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 11, 2026, 11:39 p.m.