Triple
T30282920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thereza Bazar |
E770149
|
entity |
| Predicate | notableSongWithDollar |
P55748
|
FINISHED |
| Object | Love's Gotta Hold on Me |
E770152
|
NE 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: Love's Gotta Hold on Me | Statement: [Thereza Bazar, notableSongWithDollar, Love's Gotta Hold on Me]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableSongWithDollar Context triple: [Thereza Bazar, notableSongWithDollar, Love's Gotta Hold on Me]
-
A.
notableSongAssociations
Indicates that there are notable or significant associations between an entity and specific songs, such as being referenced by, inspiring, or otherwise prominently linked to those songs.
-
B.
notableSongsIncluded
Indicates that certain notable or significant songs are included as part of the referenced entity (such as an album, playlist, or collection).
-
C.
notableSongContext
Indicates that a song is notable or significant specifically within the context of the given entity or situation.
-
D.
notableSongWrittenFor
Indicates that a particular song was specifically written for a given person, group, work, event, or purpose.
-
E.
notableSongContributions
chosen
Indicates that an entity has made significant creative or performance contributions to one or more songs.
- F. None of above.
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_69f224868fa8819099127eaf8855a28f |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a037c876524819098545e6037d3107d |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a276efeab848190a16c21e89db133ba |
completed | June 9, 2026, 1:40 a.m. |
| PD | Predicate disambiguation | batch_6a0379e0f3d88190a4ee7b0673f1ef90 |
completed | May 12, 2026, 7:05 p.m. |
Created at: April 29, 2026, 7:45 p.m.