Triple
T35036818
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Melva |
E1010941
|
entity |
| Predicate | appearsInPublicationContext |
P65153
|
FINISHED |
| Object | Harlem Renaissance literature |
—
|
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: Harlem Renaissance literature | Statement: [Melva, appearsInPublicationContext, Harlem Renaissance literature]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appearsInPublicationContext Context triple: [Melva, appearsInPublicationContext, Harlem Renaissance literature]
-
A.
appearsInPublication
chosen
Indicates that an entity is featured, mentioned, or discussed within a specific publication.
-
B.
contextOfPublication
Indicates the contextual circumstances (such as venue, medium, or setting) in which a work or content is published.
-
C.
appearsInContextWith
Indicates that two entities are observed or used together within the same situational, textual, or usage context.
-
D.
publishedIn
Indicates that a work (such as an article, paper, or book) has been formally released or made available within a specific venue, medium, or publication.
-
E.
firstPublicationContext
Indicates the original context or setting (such as venue, medium, or circumstance) in which something was first published.
- 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_69f76dcea02c81908542a223f6d5059f |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fe21b0cba48190b56c39e9f1c0eafa |
completed | May 8, 2026, 5:47 p.m. |
| PD | Predicate disambiguation | batch_69fe204576848190aecf204e2adba5dc |
completed | May 8, 2026, 5:41 p.m. |
Created at: May 3, 2026, 4:01 p.m.