Triple
T11189876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter Akemann |
E264767
|
entity |
| Predicate | hasProfessionalFocus |
P86052
|
FINISHED |
| Object | AAA game development |
—
|
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: AAA game development | Statement: [Peter Akemann, hasProfessionalFocus, AAA game development]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasProfessionalFocus Context triple: [Peter Akemann, hasProfessionalFocus, AAA game development]
-
A.
hasProfessionalOrientation
Indicates that an entity is directed toward, focused on, or aligned with a particular profession, career field, or occupational domain.
-
B.
hasProfessionalSection
Indicates that an entity includes or is associated with a designated professional section, division, or category within its structure or content.
-
C.
hasProfessionalStatus
Indicates that an entity holds a particular professional standing, rank, or qualification within a field or occupation.
-
D.
hasProfessionalCore
Indicates that an entity possesses a central set of professional skills, knowledge, or competencies that define its primary professional function or expertise.
-
E.
hasProfessionalDomain
chosen
Indicates that an entity operates, specializes, or is active within a particular professional field or domain.
- 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_69d6aa9eb9248190b20211772621b4bc |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8af18e4819091811bca657c9cb0 |
completed | April 9, 2026, 5:58 p.m. |
| PD | Predicate disambiguation | batch_69d75cf4461c8190af84060f7db83211 |
completed | April 9, 2026, 8:01 a.m. |
Created at: April 8, 2026, 9:29 p.m.