Triple
T11035057
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baroness Ribblesdale |
E260859
|
entity |
| Predicate | holderNationalityAtMarriage |
P43284
|
FINISHED |
| Object | American |
—
|
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: American | Statement: [Baroness Ribblesdale, holderNationalityAtMarriage, American]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: holderNationalityAtMarriage Context triple: [Baroness Ribblesdale, holderNationalityAtMarriage, American]
-
A.
brideNationalityAtTimeOfWedding
chosen
Indicates that a woman’s nationality at the specific time of her wedding is the stated nationality.
-
B.
spouseCountryOfCitizenship
Indicates the country in which a person's spouse holds legal citizenship.
-
C.
spouseStatusAtMarriage
Indicates the marital status each partner held at the time their marriage to one another was formed.
-
D.
spouseNameAtMarriage
Indicates the full name a person’s spouse had at the time of their marriage.
-
E.
spouseEthnicity
Indicates the ethnic background or identity of a person’s spouse.
- 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_69d6aa979bdc8190bf0e79104cc098c1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797e839e88190957c2eabf260c203 |
completed | April 9, 2026, 12:13 p.m. |
| PD | Predicate disambiguation | batch_69d7440087ac8190aef2e6f6b13b2635 |
completed | April 9, 2026, 6:15 a.m. |
Created at: April 8, 2026, 9:25 p.m.