Triple
T36939073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joe Hinton |
E913700
|
entity |
| Predicate | musicalCareerStart |
P143457
|
FINISHED |
| Object | gospel music |
—
|
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: gospel music | Statement: [Joe Hinton, musicalCareerStart, gospel music]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: musicalCareerStart Context triple: [Joe Hinton, musicalCareerStart, gospel music]
-
A.
startTimeOfMusicCareer
Indicates the point in time when an entity’s music career began.
-
B.
startedMusicalCareerIn
chosen
Indicates the time or place at which an individual began their professional involvement in music.
-
C.
startedMusicalCareerInBand
Indicates that a person’s musical career began as a member of a specific band.
-
D.
startTimeOfCreativeCareer
Indicates the point in time when an entity’s creative career or artistic professional activity began.
-
E.
beganAmateurCareer
Indicates that an entity started its amateur-level career or involvement in a particular field or activity.
- 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_69f76e8a6a5c81909c1febf32bf3fe23 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fe5d58c3e48190910aa3c23485e2c4 |
completed | May 8, 2026, 10:02 p.m. |
| PD | Predicate disambiguation | batch_69fe5c92090c8190bcfa412c0a3619df |
completed | May 8, 2026, 9:58 p.m. |
Created at: May 3, 2026, 4:13 p.m.