Triple
T16881038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toot It and Boot It |
E421414
|
entity |
| Predicate | hasRoleInCareer |
P117326
|
FINISHED |
| Object | breakout single for YG |
—
|
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: breakout single for YG | Statement: [Toot It and Boot It, hasRoleInCareer, breakout single for YG]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRoleInCareer Context triple: [Toot It and Boot It, hasRoleInCareer, breakout single for YG]
-
A.
hasIndustryRole
chosen
Indicates that an entity holds or performs a specific role, function, or position within a particular industry or sector.
-
B.
hasCareerTrack
Indicates that an entity is associated with or follows a particular career path or professional progression.
-
C.
isStageInCareerOf
Indicates that one entity represents a particular phase or stage within the professional career of another entity.
-
D.
associatedWithCareerOf
Indicates a relationship where something is connected or relevant to a person’s professional life, occupation, or career trajectory.
-
E.
managedCareerOf
Indicates that one entity was responsible for overseeing, directing, or handling the professional career of 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_69d889d470fc8190b4aec199636c0c56 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3b7fc61a08190b9f611c06a95be01 |
completed | April 18, 2026, 4:57 p.m. |
| PD | Predicate disambiguation | batch_69e32b90ec3c819099c51bb7baf2984c |
completed | April 18, 2026, 6:58 a.m. |
Created at: April 10, 2026, 5:29 a.m.