Triple
T36328634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hour That the Morning Comes |
E894570
|
entity |
| Predicate | hasLyricsCreator |
P143935
|
FINISHED |
| Object | James Taylor |
—
|
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: James Taylor | Statement: [Hour That the Morning Comes, hasLyricsCreator, James Taylor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLyricsCreator Context triple: [Hour That the Morning Comes, hasLyricsCreator, James Taylor]
-
A.
hasAdditionalLyricsBy
Indicates that an entity (such as a musical work or track) includes extra or modified lyrics contributed by a specified person or group beyond the original lyricist.
-
B.
hasWrittenLyricsFor
Indicates that one entity is the lyricist who has created the words for a song or musical work performed or associated with another entity.
-
C.
hasLyricalWritingFor
Indicates that one entity provides or is characterized by lyrical or poetic writing created for another entity.
-
D.
hasLyric
Indicates that one entity (typically a musical work or track) contains or is associated with the lyrics provided by another entity.
-
E.
hasOriginalLyricist
chosen
Indicates that an entity (such as a musical or song) is associated with the person who first wrote its lyrics.
- 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_69f76e4dcf088190a6c3216c209cab52 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7ba6d06f48190a71b5a2f19e2232f |
completed | May 3, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69f7b9a4aad48190a62e41c5e39339d9 |
completed | May 3, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:09 p.m.