Triple
T24095145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Till It Shines |
E596895
|
entity |
| Predicate | followsInTrackListOfStrangerInTown |
P25512
|
FINISHED |
| Object | Still the Same |
—
|
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: Still the Same | Statement: [Till It Shines, followsInTrackListOfStrangerInTown, Still the Same]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: followsInTrackListOfStrangerInTown Context triple: [Till It Shines, followsInTrackListOfStrangerInTown, Still the Same]
-
A.
followsInTracklist
chosen
Indicates that one item directly comes after another in an ordered tracklist sequence.
-
B.
followsInParadiso
Indicates that one entity comes after another in the sequence or ordering specific to the context of Paradiso.
-
C.
followsStoryOf
Indicates that one narrative, account, or storyline continues from, is based on, or is derived from the events or structure of another.
-
D.
followsDepartureOf
Indicates that one event or action occurs after and in sequence with the departure of another entity or event.
-
E.
followsBetween
Indicates that one entity comes after or succeeds another entity within a specified context or sequence.
- 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_69e288c548048190a5c1018da1166a21 |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1dd24ad9c8190ae81bcc5eae6e159 |
completed | April 29, 2026, 10:27 a.m. |
| PD | Predicate disambiguation | batch_69f17651458c8190bbfd301883e46085 |
completed | April 29, 2026, 3:09 a.m. |
Created at: April 17, 2026, 10:58 p.m.