Triple
T14860585
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | And Can It Be That I Should Gain? |
E349475
|
entity |
| Predicate | commonlySungTune |
P115912
|
FINISHED |
| Object | SAGINA |
—
|
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: SAGINA | Statement: [And Can It Be That I Should Gain?, commonlySungTune, SAGINA]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commonlySungTune Context triple: [And Can It Be That I Should Gain?, commonlySungTune, SAGINA]
-
A.
commonlySungStanzas
Indicates that certain stanzas of a song or poem are those most frequently sung or performed in practice.
-
B.
frequentlySings
Indicates that the subject engages in the act of singing on a regular or repeated basis.
-
C.
singsTo
Indicates that one entity performs singing directed toward or for another entity.
-
D.
isPopularSongOf
Indicates that a song is widely liked, well-known, or frequently enjoyed in relation to a particular entity (such as an artist, album, or context).
-
E.
isPopularSongFrom
Indicates that a song is widely liked, well-known, or frequently played and originates from a particular source, such as an artist, album, or media work.
- 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_69d822ed7e1881909b90fca143ad7e34 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded573cba881908d6d9ac570a64e5f |
completed | April 15, 2026, 12:01 a.m. |
| PD | Predicate disambiguation | batch_69de8c1798c08190b433e9ad21e41a42 |
completed | April 14, 2026, 6:48 p.m. |
| PDg | Predicate description generation | batch_69de8f4b67cc8190b84b59fcec5cf579 |
completed | April 14, 2026, 7:02 p.m. |
Created at: April 10, 2026, 1:54 a.m.