Triple
T28994723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hold the Girl Tour |
E736122
|
entity |
| Predicate | basedOnAlbumThemes |
P153763
|
FINISHED |
| Object | Hold the Girl |
—
|
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: Hold the Girl | Statement: [Hold the Girl Tour, basedOnAlbumThemes, Hold the Girl]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basedOnAlbumThemes Context triple: [Hold the Girl Tour, basedOnAlbumThemes, Hold the Girl]
-
A.
basedOnAlbum
Indicates that one entity is derived from, adapted from, or created using the content or concept of a particular music album.
-
B.
albumTheme
Indicates that one entity is the central subject, concept, or motif that thematically unifies the other entity, which is an album.
-
C.
basedOnTourAlbum
chosen
Indicates that something (such as a work, event, or production) is derived from, inspired by, or created in connection with a specific tour album.
-
D.
followsInTheme
Indicates that one element continues or succeeds another while maintaining the same theme or thematic context.
-
E.
reflectsOnTheme
Indicates that one entity critically considers, analyzes, or comments on the theme expressed or embodied by another entity.
- 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_69f077eacd0481908ef0bafd74491cd0 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69fcf36d2894819089b7db8e91b63c9d |
completed | May 7, 2026, 8:17 p.m. |
| PD | Predicate disambiguation | batch_69fcf25c0a108190bfa823474098640b |
completed | May 7, 2026, 8:13 p.m. |
Created at: April 28, 2026, 9:29 a.m.