Triple
T33826192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Queen |
E866961
|
entity |
| Predicate | influentialWorkWithin |
P98503
|
FINISHED |
| Object | Latin American love poetry |
—
|
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: Latin American love poetry | Statement: [The Queen, influentialWorkWithin, Latin American love poetry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: influentialWorkWithin Context triple: [The Queen, influentialWorkWithin, Latin American love poetry]
-
A.
influencedWork
Indicates that one work has had a significant impact on the creation, style, content, or development of another work.
-
B.
influencedWorkType
Indicates that one work has affected or shaped the type, category, or form of another work.
-
C.
discussedInWorkOf
Indicates that a subject is examined, treated, or talked about within a particular work or publication.
-
D.
notableWorkFocus
chosen
Indicates that a notable work primarily centers on, addresses, or is significantly concerned with a particular subject, theme, or area.
-
E.
influentialAs
Indicates that one entity has at least as much influence or impact as 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_69f34991dd248190a659541588506b3c |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fce7671f108190bf3ebf54339068b5 |
completed | May 7, 2026, 7:26 p.m. |
| PD | Predicate disambiguation | batch_69fce5b5a84c81908ac1b5b9f08d48d0 |
completed | May 7, 2026, 7:19 p.m. |
Created at: May 1, 2026, 1:46 a.m.