Triple
T27704129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | British Atlantic Airways |
E698501
|
entity |
| Predicate | RandolphFieldsOccupation |
P163103
|
FINISHED |
| Object | entrepreneur |
—
|
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: entrepreneur | Statement: [British Atlantic Airways, RandolphFieldsOccupation, entrepreneur]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: RandolphFieldsOccupation Context triple: [British Atlantic Airways, RandolphFieldsOccupation, entrepreneur]
-
A.
sonOccupation
Indicates that a specified occupation is the job or professional role held by a person's son.
-
B.
economicRoleBeforeCivilWar
Indicates the economic function or position an entity held prior to the outbreak of the Civil War.
-
C.
eraOfOccupation
Indicates the time period during which an occupation or role was held or practiced.
-
D.
notableHolderOccupation
Indicates that a person notably associated with an entity (e.g., an award, office, or title) held a particular occupation or professional role.
-
E.
foundedByOccupation
Indicates that an entity (such as an organization or institution) was founded by a person or group characterized by a specific occupation or professional role.
- 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_69ef590ea74081908f0cd7500d85fa27 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f63639a84c81909d700a539b458b42 |
completed | May 2, 2026, 5:36 p.m. |
| PD | Predicate disambiguation | batch_69f63188e7408190af8ce8b93d128c63 |
completed | May 2, 2026, 5:16 p.m. |
| PDg | Predicate description generation | batch_69f6352df6148190bc10772cd40bd7b3 |
completed | May 2, 2026, 5:32 p.m. |
Created at: April 27, 2026, 2:58 p.m.