Triple
T11237401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Wild Irish Boy |
E265975
|
entity |
| Predicate | followsGenreTradition |
P60982
|
FINISHED |
| Object | Gothic romance |
—
|
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: Gothic romance | Statement: [The Wild Irish Boy, followsGenreTradition, Gothic romance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: followsGenreTradition Context triple: [The Wild Irish Boy, followsGenreTradition, Gothic romance]
-
A.
basedInGenreTradition
chosen
Indicates that something (such as a work or practice) is grounded in, follows, or is shaped by the conventions and traditions of a particular genre.
-
B.
culturalTradition
Indicates a relationship where certain practices, beliefs, or customs are recognized as part of a shared cultural heritage passed down within a group or society.
-
C.
mainTradition
Indicates that one entity represents the primary or dominant tradition associated with another entity.
-
D.
musicTradition
Indicates a relationship where one entity follows, embodies, or belongs to a particular musical tradition or style associated with another entity.
-
E.
cultOrTradition
Indicates that one entity is a cult or tradition associated with, practiced by, or characterizing 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_69d6aac656d48190b275efaa7d6074ee |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e904cf888190826fc964f76b5cb2 |
completed | April 9, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69d7878906f48190b63ddc103a0c8f9b |
completed | April 9, 2026, 11:03 a.m. |
Created at: April 8, 2026, 9:30 p.m.