Triple
T27080989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lorillard family |
E685593
|
entity |
| Predicate | businessStatusBy19thCentury |
P165379
|
FINISHED |
| Object | one of the leading American tobacco fortunes |
—
|
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: one of the leading American tobacco fortunes | Statement: [Lorillard family, businessStatusBy19thCentury, one of the leading American tobacco fortunes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: businessStatusBy19thCentury Context triple: [Lorillard family, businessStatusBy19thCentury, one of the leading American tobacco fortunes]
-
A.
legalStatus19thCentury
Indicates the legal classification or condition that an entity held during the 19th century.
-
B.
populationStatus19thCentury
Indicates the population condition or demographic status of an entity during the 19th century.
-
C.
statusIn20thCentury
Indicates that an entity held a particular status, condition, or classification specifically during the 20th century.
-
D.
builtIn19thCentury
Indicates that something was constructed during the 19th century.
-
E.
ownerIn19thCentury
Indicates that an entity was the owner of another entity at some point during the 19th century.
- 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_69ef14843b1481909d828b3d5a44550a |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f659355a208190be2609ffc7a9c427 |
completed | May 2, 2026, 8:06 p.m. |
| PD | Predicate disambiguation | batch_69f6575d89788190aca478e4aea05a65 |
completed | May 2, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69f65875030881909007c502b7dcc998 |
completed | May 2, 2026, 8:03 p.m. |
Created at: April 27, 2026, 8:34 a.m.