Triple
T4987466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sir Peter Birkett |
E112037
|
entity |
| Predicate | entrepreneurialSector |
P46461
|
FINISHED |
| Object | education |
—
|
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: education | Statement: [Sir Peter Birkett, entrepreneurialSector, education]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: entrepreneurialSector Context triple: [Sir Peter Birkett, entrepreneurialSector, education]
-
A.
entrepreneurialDomain
chosen
Indicates that an entity operates within, is associated with, or belongs to a particular field or sector of entrepreneurial activity.
-
B.
ownerSector
Indicates the sector or industry category to which the owner of an entity belongs.
-
C.
entrepreneurialFocus
Indicates a relationship where an entity prioritizes or emphasizes entrepreneurial activities, initiatives, or mindset in its behavior or strategy.
-
D.
notableSector
Indicates that an entity is particularly prominent, influential, or significant within a specified sector or industry.
-
E.
businessVenture
Indicates a relationship where entities jointly engage in, operate, or are involved with a commercial or entrepreneurial undertaking.
- 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_69bd441be7bc8190b530362d427b97d2 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd74249a8c8190952680aee06a9286 |
completed | March 20, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69bd71492dec8190af4c27a3043b35cc |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:34 p.m.