Triple
T26674178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duchy of Norfolk (through Anne de Mowbray) |
E672413
|
entity |
| Predicate | heiress |
P8423
|
FINISHED |
| Object | Anne de Mowbray, 8th Countess of Norfolk |
—
|
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: Anne de Mowbray, 8th Countess of Norfolk | Statement: [Duchy of Norfolk (through Anne de Mowbray), heiress, Anne de Mowbray, 8th Countess of Norfolk]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: heiress Context triple: [Duchy of Norfolk (through Anne de Mowbray), heiress, Anne de Mowbray, 8th Countess of Norfolk]
-
A.
heirOf
chosen
Indicates that one entity is the legal or designated successor who inherits from another entity, typically upon that entity’s death or transfer of rights.
-
B.
hasWealthyHeiressMother
Indicates that a person has a mother who is both wealthy and an heiress.
-
C.
marriedToHeiress
Indicates that a person is married to someone who is an heiress.
-
D.
princessOf
Indicates that one entity holds the royal title or role of princess in relation to another entity, typically a realm, family, or sovereign.
-
E.
agreedHeir
Indicates that one entity has been formally designated and accepted as the heir of another, typically through mutual agreement or legal arrangement.
- 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_69eecda13424819092b17942c4edf722 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f61701f5ac8190bda13b38afb6a9b9 |
completed | May 2, 2026, 3:23 p.m. |
| PD | Predicate disambiguation | batch_69f60b8bb0d08190ab5a9a2a8847c6f4 |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 27, 2026, 3:15 a.m.