Triple
T25244229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Studies in the History of the Renaissance |
E632552
|
entity |
| Predicate | hasFamousPassage |
P154265
|
FINISHED |
| Object | "To burn always with this hard, gemlike flame" |
—
|
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: "To burn always with this hard, gemlike flame" | Statement: [Studies in the History of the Renaissance, hasFamousPassage, "To burn always with this hard, gemlike flame"]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFamousPassage Context triple: [Studies in the History of the Renaissance, hasFamousPassage, "To burn always with this hard, gemlike flame"]
-
A.
isFamousExcerptOf
chosen
Indicates that one text passage is a well-known or widely recognized excerpt taken from a larger work.
-
B.
hasFamousPass
Indicates that an entity possesses or is associated with a well-known or historically significant pass (such as a route, corridor, or access point).
-
C.
hasFamousSection
Indicates that an entity includes or contains a part, area, or segment that is widely recognized or renowned.
-
D.
hasFamousArtwork
Indicates that an entity possesses or is associated with a well-known or widely recognized artwork.
-
E.
hasPoeticEpigraphs
Indicates that one entity (typically a work) includes poetic epigraphs associated with or prefacing another entity.
- 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_69e75a8fdd3881909ba0b05aa5da92a7 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f6352fdb788190b9bad30243690743 |
completed | May 2, 2026, 5:32 p.m. |
| PD | Predicate disambiguation | batch_69f63182f1408190bddc1214fcbd6145 |
completed | May 2, 2026, 5:16 p.m. |
Created at: April 21, 2026, 1:10 p.m.