Triple
T36736253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal Wedding of Prince William and Catherine Middleton |
E907485
|
entity |
| Predicate | groomMother |
P186542
|
FINISHED |
| Object | Diana, Princess of Wales |
—
|
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: Diana, Princess of Wales | Statement: [Royal Wedding of Prince William and Catherine Middleton, groomMother, Diana, Princess of Wales]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: groomMother Context triple: [Royal Wedding of Prince William and Catherine Middleton, groomMother, Diana, Princess of Wales]
-
A.
hasGroomFather
Indicates that a person serves as the father of the groom in a marriage-related relationship.
-
B.
heirMotherOf
Indicates that one entity is the mother of another entity who is designated as an heir.
-
C.
maternalGrandsonOf
Indicates that one entity is the male child of the daughter of another entity (i.e., the other entity’s grandson through their maternal line).
-
D.
maternalGrandfatherOf
Indicates that one person is the father of another person's mother.
-
E.
motherName
Indicates that the predicate specifies the personal name of an entity’s mother.
- 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_69f76e75aa6881909b844d00a3888ee5 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f9fe1a1ca4819084c196f0041f0be2 |
completed | May 5, 2026, 2:26 p.m. |
| PD | Predicate disambiguation | batch_69f7cf7890008190a8bc355ff2d61c86 |
completed | May 3, 2026, 10:43 p.m. |
| PDg | Predicate description generation | batch_69f9fd66eed48190bdc26a8def328c2d |
completed | May 5, 2026, 2:23 p.m. |
Created at: May 3, 2026, 4:12 p.m.