Triple
T16082669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | It's Gonna Be Me |
E390146
|
entity |
| Predicate | isTitleTrackFromTour |
P121823
|
FINISHED |
| Object | No Strings Attached Tour setlist |
—
|
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: No Strings Attached Tour setlist | Statement: [It's Gonna Be Me, isTitleTrackFromTour, No Strings Attached Tour setlist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isTitleTrackFromTour Context triple: [It's Gonna Be Me, isTitleTrackFromTour, No Strings Attached Tour setlist]
-
A.
isTitleTrack
Indicates that a song or track shares the same title as the album, film, or larger work it belongs to.
-
B.
isTitleTrackFromEra
Indicates that a track serves as the title track representing or originating from a specific era or period.
-
C.
isTitleTrackFromSameSessionsAs
Indicates that a title track and another recording were produced during the same recording sessions.
-
D.
isTitleCharacterOfSong
Indicates that a character is mentioned in or constitutes the title of a specific song.
-
E.
trackName
Indicates the name or title assigned to a specific track (such as a song, audio piece, or route) in the relationship.
- 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_69d87f198bc48190a8b7e53ca15b7ead |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e1ff63edb0819092cbb671967bbdcd |
completed | April 17, 2026, 9:37 a.m. |
| PD | Predicate disambiguation | batch_69e1827ad7c88190b867da511cbfb7fa |
completed | April 17, 2026, 12:44 a.m. |
| PDg | Predicate description generation | batch_69e1ff5cd7e481908a29214139a3de2e |
completed | April 17, 2026, 9:37 a.m. |
Created at: April 10, 2026, 4:59 a.m.