Triple
T22226078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prince Louis of Wales |
E549340
|
entity |
| Predicate | orderOfBirth |
P147361
|
FINISHED |
| Object | third child of William, Prince of Wales, and Catherine, Princess of Wales |
—
|
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: third child of William, Prince of Wales, and Catherine, Princess of Wales | Statement: [Prince Louis of Wales, orderOfBirth, third child of William, Prince of Wales, and Catherine, Princess of Wales]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: orderOfBirth Context triple: [Prince Louis of Wales, orderOfBirth, third child of William, Prince of Wales, and Catherine, Princess of Wales]
-
A.
bornDuring
Indicates that an entity’s birth occurred within the temporal span of a specified event, period, or time interval.
-
B.
dateOfBirth
Indicates the specific calendar date on which an individual or entity was born.
-
C.
bornAfter
Indicates that one entity’s birth occurred later in time than another entity’s birth.
-
D.
gaveBirthAt
Indicates that one entity gave birth at a specific location or time associated with another entity.
-
E.
subjectBirthDate
Indicates the date on which the subject was born.
- 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_69e11e403d6481909a94d0aaf157f6ef |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12bee8de8819091ec5d14ea057f9e |
completed | April 28, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69e71b4dcc408190a30429fb08fcf39e |
completed | April 21, 2026, 6:38 a.m. |
| PDg | Predicate description generation | batch_69e723f65c5c8190a0ee3c539e5d0767 |
completed | April 21, 2026, 7:15 a.m. |
Created at: April 16, 2026, 8:37 p.m.