Triple
T34185036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Payne |
E876935
|
entity |
| Predicate | contributedLyricsTo |
P111764
|
FINISHED |
| Object | Midnight Rider |
—
|
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: Midnight Rider | Statement: [Robert Payne, contributedLyricsTo, Midnight Rider]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: contributedLyricsTo Context triple: [Robert Payne, contributedLyricsTo, Midnight Rider]
-
A.
hasWrittenLyricsFor
chosen
Indicates that one entity is the lyricist who has created the words for a song or musical work performed or associated with another entity.
-
B.
hasWrittenSongsFor
Indicates that one entity has composed songs specifically intended to be performed, recorded, or used by another entity.
-
C.
wroteSongWith
Indicates that two or more entities collaborated in the creation or composition of a song.
-
D.
wroteMusicForLyricsBy
Indicates that one entity composed music specifically to accompany lyrics created by another entity.
-
E.
hasLyricalWritingFor
Indicates that one entity provides or is characterized by lyrical or poetic writing created for another entity.
- 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_69f349ae640c8190b9cd220b5368d8b6 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fe9fb9735c8190a360b556c9d00b3f |
completed | May 9, 2026, 2:45 a.m. |
| PD | Predicate disambiguation | batch_69fe9eaa88008190a9b2a469dc685002 |
completed | May 9, 2026, 2:40 a.m. |
Created at: May 1, 2026, 1:55 a.m.