Triple
T38146602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Susanna Clark |
E952631
|
entity |
| Predicate | coWroteSongRecordedBy |
P190140
|
FINISHED |
| Object | Emmylou Harris |
—
|
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: Emmylou Harris | Statement: [Susanna Clark, coWroteSongRecordedBy, Emmylou Harris]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coWroteSongRecordedBy Context triple: [Susanna Clark, coWroteSongRecordedBy, Emmylou Harris]
-
A.
hasWrittenSongsFor
Indicates that one entity has composed songs specifically intended to be performed, recorded, or used by another entity.
-
B.
hasSongwriterProducerRelationshipWith
Indicates a relationship where one entity serves as the songwriter and/or producer for another entity’s musical work.
-
C.
songWrittenBy
Indicates that a particular song was created or composed by a specific person or group.
-
D.
coveredSongBy
Indicates that one musical work is a cover version performed or recorded by an artist of a song originally created or popularized by another artist.
-
E.
containsSongWrittenBy
Indicates that an entity (such as an album, playlist, or collection) includes at least one song that was written by a specified creator or songwriter.
- 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_69f76f0a67f4819080c492f61d688fcc |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fcb089a8f881909aa9e722babd43f7 |
completed | May 7, 2026, 3:32 p.m. |
| PD | Predicate disambiguation | batch_69fc45666c5c8190913bd632ac0e5b84 |
completed | May 7, 2026, 7:55 a.m. |
| PDg | Predicate description generation | batch_69fcb088aac481909db90804faff315f |
completed | May 7, 2026, 3:32 p.m. |
Created at: May 3, 2026, 4:21 p.m.