Triple
T38672830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Cellardyke Recording and Wassailing Society |
E943645
|
entity |
| Predicate | isFolkInfluenced |
P191508
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [The Cellardyke Recording and Wassailing Society, isFolkInfluenced, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isFolkInfluenced Context triple: [The Cellardyke Recording and Wassailing Society, isFolkInfluenced, true]
-
A.
hasFolkGenre
Indicates that something belongs to, is categorized under, or is associated with the folk music genre.
-
B.
isFolkSongFrom
Indicates that a folk song originates from or is traditionally associated with a particular place, region, or culture.
-
C.
isRockInfluenced
Indicates that one rock entity has been shaped, altered, or affected in some way by another rock entity.
-
D.
countryInfluenced
Indicates that one country has exerted a significant political, economic, cultural, or military impact on another country.
-
E.
hasGenreInfluenceOn
Indicates that one genre has a notable impact on shaping or influencing the characteristics, style, or development of another genre.
- F. None of above. chosen
Provenance (4 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_69f76eec28708190b9c82a505fc278e0 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fcdfbc71c481908ba7f87907b17782 |
completed | May 7, 2026, 6:53 p.m. |
| PD | Predicate disambiguation | batch_69fcdbe580b8819087f143596b2c79c0 |
completed | May 7, 2026, 6:37 p.m. |
| PDg | Predicate description generation | batch_69fcdfbafbf48190abe38ec0003a6419 |
completed | May 7, 2026, 6:53 p.m. |
Created at: May 3, 2026, 4:33 p.m.