Triple
T36023202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles Armstrong-Jones, Viscount Linley |
E1042047
|
entity |
| Predicate | greatNephewOf |
P70509
|
FINISHED |
| Object | Queen Elizabeth II |
—
|
NE NERFINISHED |
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: Queen Elizabeth II | Statement: [Charles Armstrong-Jones, Viscount Linley, greatNephewOf, Queen Elizabeth II]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: greatNephewOf Context triple: [Charles Armstrong-Jones, Viscount Linley, greatNephewOf, Queen Elizabeth II]
-
A.
greatGrandchild
Indicates that one entity is the great-grandchild (child of a grandchild) of another entity.
-
B.
grandnieceOf
chosen
Indicates that one person is the granddaughter of another person's sibling (i.e., the niece of that person's child).
-
C.
granduncleOf
Indicates that one person is the brother of another person's grandparent.
-
D.
greatGrandfather
Indicates that one person is the father of another person's grandparent, i.e., a male ancestor three generations up.
-
E.
possibleGrandfatherOf
Indicates that one individual may be the grandfather of another, typically as the father of one of the other person’s parents, but with some uncertainty or lack of confirmation.
- 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_69f76e2c568881909e1e21f85252b0f0 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7ace4902c8190b4f60da85030a47e |
completed | May 3, 2026, 8:15 p.m. |
| PD | Predicate disambiguation | batch_69f7ab75387c819091afc3c2128eb903 |
completed | May 3, 2026, 8:09 p.m. |
Created at: May 3, 2026, 4:07 p.m.