Triple
T15689443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Valentin |
E380286
|
entity |
| Predicate | professionStatusLater |
P19158
|
FINISHED |
| Object | unemployed actor |
—
|
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: unemployed actor | Statement: [George Valentin, professionStatusLater, unemployed actor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: professionStatusLater Context triple: [George Valentin, professionStatusLater, unemployed actor]
-
A.
memberLaterOccupation
Indicates that an individual later held a particular occupation or position after an earlier point in time or role.
-
B.
careerStatus
Indicates the current stage, position, or condition of an entity within its professional or occupational life.
-
C.
laterCareer
chosen
Indicates that the associated information or events pertain to a later stage or phase in an entity’s professional life or career trajectory.
-
D.
professionalTitleAfterCompletion
Indicates that an entity is granted or holds a specific professional title as a result of successfully completing a particular program, course, or qualification.
-
E.
hasProfessionalStatus
Indicates that an entity holds a particular professional standing, rank, or qualification within a field or occupation.
- 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_69d86d99e860819094b6957cde470f2c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04f4e59988190aaf12f6a07c8f0e4 |
completed | April 16, 2026, 2:54 a.m. |
| PD | Predicate disambiguation | batch_69deda8c856c8190882330114f9a1a5f |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:44 a.m.