Triple
T2235547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lucy Flucker Knox |
E49270
|
entity |
| Predicate | contrastedWithFamily |
P11289
|
FINISHED |
| Object | Patriot allegiance despite Loyalist background |
—
|
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: Patriot allegiance despite Loyalist background | Statement: [Lucy Flucker Knox, contrastedWithFamily, Patriot allegiance despite Loyalist background]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: contrastedWithFamily Context triple: [Lucy Flucker Knox, contrastedWithFamily, Patriot allegiance despite Loyalist background]
-
A.
oftenContrastedWith
chosen
Indicates that one entity is frequently compared to another in a way that highlights their differences or opposing characteristics.
-
B.
familyAspect
Indicates a relationship where one entity is characterized by a particular familial role, status, or aspect in relation to another entity.
-
C.
familyOf
Indicates a familial relationship exists between the entities, such as by blood, marriage, or adoption.
-
D.
usedByFamily
Indicates that something is regularly utilized or consumed by a family as a group.
-
E.
exploresContrastBetween
Indicates a relationship in which one entity examines, highlights, or analyzes the differences or oppositions between two or more entities, ideas, or situations.
- 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_69a88aa84bdc819086df50e9c20b301e |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc093ba0c819091df09a0e018fce1 |
completed | March 7, 2026, 6:07 a.m. |
| PD | Predicate disambiguation | batch_69abbdafc07881909101266a33ae7031 |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:47 p.m.