Triple
T17453523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tweez |
E424972
|
entity |
| Predicate | trackNamesTheme |
P30893
|
FINISHED |
| Object | named after band members’ parents and relatives |
—
|
LITERAL 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: named after band members’ parents and relatives | Statement: [Tweez, trackNamesTheme, named after band members’ parents and relatives]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trackNamesTheme Context triple: [Tweez, trackNamesTheme, named after band members’ parents and relatives]
-
A.
albumTheme
Indicates that one entity is the central subject, concept, or motif that thematically unifies the other entity, which is an album.
-
B.
trackName
chosen
Indicates the name or title assigned to a specific track (such as a song, audio piece, or route) in the relationship.
-
C.
musicThemeType
Indicates the specific category or type of musical theme associated with a piece, segment, or motif.
-
D.
segmentTheme
Indicates that a particular theme or topic is associated with, or characterizes, a specific segment of content or data.
-
E.
titleTheme
Indicates that a work’s title reflects, expresses, or is thematically centered on a particular theme.
- 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_69d889db0ba481908402409af3b37917 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451406c748190b5ac6aacff7a3cc7 |
completed | April 19, 2026, 3:51 a.m. |
| PD | Predicate disambiguation | batch_69e3b4f0e3fc819094e466b74622c956 |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:47 a.m.