Triple
T34364603
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Page Two |
E881971
|
entity |
| Predicate | containsRearrangedSong |
P89596
|
FINISHED |
| Object | Precious Love |
—
|
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: Precious Love | Statement: [Page Two, containsRearrangedSong, Precious Love]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsRearrangedSong Context triple: [Page Two, containsRearrangedSong, Precious Love]
-
A.
hasMusicalArrangementCharacteristic
chosen
Indicates that a musical arrangement possesses a specific characteristic, feature, or quality.
-
B.
containsReRecordedSong
Indicates that one entity (typically an album, release, or collection) includes a song that has been recorded again in a new version compared to its original recording.
-
C.
hasChoralArrangement
Indicates that one entity is a choral arrangement version or setting of another entity (typically an original musical work).
-
D.
includesSongsFrom
Indicates that one collection, playlist, or set contains one or more songs that originate from another specified source or group.
-
E.
containsOriginalSongs
Indicates that one entity includes or features songs that are original compositions rather than covers or adaptations.
- 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_69f349be5c9c81908dc726ae1f4c68f2 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a00717f539c8190b70dd0e72c6f7d24 |
completed | May 10, 2026, 11:52 a.m. |
| PD | Predicate disambiguation | batch_6a00710278fc81908889afdcf459ff01 |
completed | May 10, 2026, 11:50 a.m. |
Created at: May 1, 2026, 1:58 a.m.