Triple
T24386437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lisdoonvarna |
E614761
|
entity |
| Predicate | hasMusicReference |
P43970
|
FINISHED |
| Object | song "Lisdoonvarna" by Christy Moore |
—
|
NE NERFINISHED |
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: song "Lisdoonvarna" by Christy Moore | Statement: [Lisdoonvarna, hasMusicReference, song "Lisdoonvarna" by Christy Moore]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMusicReference Context triple: [Lisdoonvarna, hasMusicReference, song "Lisdoonvarna" by Christy Moore]
-
A.
hasMusical
chosen
Indicates that one entity features, includes, or is associated with a musical work, performance, or musical component.
-
B.
hasCommonMusic
Indicates that two entities share at least one piece of music preference, interest, or item in common.
-
C.
hasMusicUnit
Indicates that one entity includes, is associated with, or is organized into a specific musical unit (such as a band, ensemble, or musical subgroup).
-
D.
hasMusicCategory
Indicates that something is associated with, classified under, or belongs to a particular category or type of music.
-
E.
hasMusicForReleases
Indicates that there is associated music content linked to specific releases (such as albums, editions, or versions).
- 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_69e2d7e362e481909e32fe4ef8269d4f |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f29454c36c8190b7820dbf5af7b695 |
completed | April 29, 2026, 11:29 p.m. |
| PD | Predicate disambiguation | batch_69f287c4a2b48190b80fb7a3c0e9b018 |
completed | April 29, 2026, 10:35 p.m. |
Created at: April 18, 2026, 2:03 a.m.