Triple
T24504979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Life Time |
E618039
|
entity |
| Predicate | chronologyInArtistDiscographyFollowedBy |
P156543
|
FINISHED |
| Object | Spring |
—
|
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: Spring | Statement: [Life Time, chronologyInArtistDiscographyFollowedBy, Spring]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chronologyInArtistDiscographyFollowedBy Context triple: [Life Time, chronologyInArtistDiscographyFollowedBy, Spring]
-
A.
chronologyOfArtist
Indicates the temporal sequence or timeline of events, works, or periods associated with an artist.
-
B.
chronologyInArtistRepertoire
Indicates the temporal order in which works appear within an artist’s repertoire or body of work.
-
C.
chronologyInArtistSinglesNext
Indicates that one single directly follows another in the chronological sequence of an artist’s singles.
-
D.
chronologyInArtistSinglesPrevious
Indicates that one single directly precedes another in the chronological sequence of an artist’s singles.
-
E.
chronologyWithinArtistOeuvre
Indicates the temporal ordering of works within a single artist’s body of work, specifying how one piece relates in time to others by the same artist.
- 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_69e2d7f682108190a1a7ca5fd485ee8a |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f2a9d912e88190bc39c05a9d7f407e |
completed | April 30, 2026, 1:01 a.m. |
| PD | Predicate disambiguation | batch_69f2a6a4580481908fddc385f5262f95 |
completed | April 30, 2026, 12:47 a.m. |
| PDg | Predicate description generation | batch_69f2a9d795288190916368e3cec1f666 |
completed | April 30, 2026, 1:01 a.m. |
Created at: April 18, 2026, 2:23 a.m.