Triple
T28727020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 23rd Earl of Derby |
E730250
|
entity |
| Predicate | holderFieldOfActivity |
P165783
|
FINISHED |
| Object | British politics |
—
|
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: British politics | Statement: [23rd Earl of Derby, holderFieldOfActivity, British politics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: holderFieldOfActivity Context triple: [23rd Earl of Derby, holderFieldOfActivity, British politics]
-
A.
possibleFieldOfActivity
Indicates that something is a potential or suitable area in which an entity can operate, work, or be active.
-
B.
occupationalRootActivity
Indicates that an occupation is fundamentally based on or derived from a particular core activity or type of work.
-
C.
occupationType
Indicates the specific kind or category of work, profession, or role that an entity performs or holds.
-
D.
placeOfBusinessActivity
Indicates the type or nature of business activity that is conducted at a particular place or location.
-
E.
natureOfOccupation
Indicates the type or character of a person's occupation, describing what kind of work or role it is rather than who performs it.
- F. None of above. chosen
Provenance (4 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_69f043e91fe48190b73bcd8e08d433e0 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f65b14512c8190a40e70319dcc54cd |
completed | May 2, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69f659ce58408190ba9e007b4810d4d0 |
completed | May 2, 2026, 8:08 p.m. |
| PDg | Predicate description generation | batch_69f65a6babcc81908052c9907a99c882 |
completed | May 2, 2026, 8:11 p.m. |
Created at: April 28, 2026, 5:56 a.m.