Triple
T29217095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Don't Try to Catch a River |
E740702
|
entity |
| Predicate | hasCompanionTrackTo |
P22238
|
FINISHED |
| Object | Rain and Tears |
—
|
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: Rain and Tears | Statement: [Don't Try to Catch a River, hasCompanionTrackTo, Rain and Tears]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCompanionTrackTo Context triple: [Don't Try to Catch a River, hasCompanionTrackTo, Rain and Tears]
-
A.
hasCompanionPiece
chosen
Indicates that one item is conceptually or functionally paired with another item as its companion piece.
-
B.
hasTwoTracks
Indicates that the subject possesses or is associated with exactly two distinct tracks or pathways.
-
C.
hasTrack
Indicates that one entity possesses, includes, or is associated with a specific track (such as a path, course, or recorded item).
-
D.
companionAlbum
Indicates that one album is released or designated as a companion to another album, intended to complement or accompany it as part of a related set.
-
E.
hasTrackWith
Indicates that something includes, contains, or is associated with a specific track (such as a path, course, or recorded item).
- 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_69f07cba2f808190a2746477d4e8345b |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_6a004d0b46148190bcec4ea67acfe170 |
completed | May 10, 2026, 9:16 a.m. |
| PD | Predicate disambiguation | batch_6a004c92283081909f229c1720af155a |
completed | May 10, 2026, 9:14 a.m. |
Created at: April 28, 2026, 12:14 p.m.