Triple
T27933585
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chris Brown (album) |
E708046
|
entity |
| Predicate | launchesCareerOf |
P14805
|
FINISHED |
| Object | Chris Brown |
—
|
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: Chris Brown | Statement: [Chris Brown (album), launchesCareerOf, Chris Brown]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: launchesCareerOf Context triple: [Chris Brown (album), launchesCareerOf, Chris Brown]
-
A.
launchedCareerOf
chosen
Indicates that one entity’s actions, support, or involvement initiated or significantly advanced another entity’s professional career.
-
B.
helpsLaunchCareerOf
Indicates that one entity plays a significant role in starting, advancing, or establishing the professional career of another entity.
-
C.
developsCareerIn
Indicates that an entity actively builds, advances, or pursues a professional path within a particular field, role, or organization.
-
D.
managedCareerOf
Indicates that one entity was responsible for overseeing, directing, or handling the professional career of another entity.
-
E.
laterCareerWorkOf
Indicates that one work represents a creator’s later career output in relation to another work or to their overall body of work.
- 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_69ef96bbf2c48190a9d0e0291457aab6 |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f6691f5e188190b12c7b2eb729a45e |
completed | May 2, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69f66598d6008190a7ca8ff80399fd34 |
completed | May 2, 2026, 8:59 p.m. |
Created at: April 27, 2026, 7:04 p.m.