Triple
T31570374
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cardigan |
E805539
|
entity |
| Predicate | relatedSong |
P2152
|
FINISHED |
| Object | August |
E1164212
|
NE 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: August | Statement: [Cardigan, relatedSong, August]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relatedSong Context triple: [Cardigan, relatedSong, August]
-
A.
relatedSongCollection
Indicates that a song collection is associated with or connected to another song collection in a meaningful way (e.g., by theme, artist, or context).
-
B.
associatedMusic
chosen
Indicates a relationship where one entity is linked to or connected with a piece of music, such as being used by, related to, or thematically tied to that music.
-
C.
sharesSong
Indicates that one entity provides or distributes a song to another entity.
-
D.
musicBySameCreatorsAs
Indicates that two pieces of music share the same creators, such as composers, songwriters, or producers.
-
E.
sangForSongsAssociatedWith
Indicates that one entity performed singing on behalf of, or in service of, another entity specifically for songs that are associated with that second entity.
- F. None of above.
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_69f348d2ee94819091918d1789398c29 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_6a037c876524819098545e6037d3107d |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2b2d9b2e90819090aa0bf9c9451728 |
completed | June 11, 2026, 9:50 p.m. |
| PD | Predicate disambiguation | batch_6a0379e7aa0c8190bdc9ee4d54fc821b |
completed | May 12, 2026, 7:05 p.m. |
Created at: April 30, 2026, 10:19 p.m.