Triple
T29545039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen Anne |
E749607
|
entity |
| Predicate | numberOfChildrenBorn |
P201562
|
FINISHED |
| Object | 17 |
—
|
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: 17 | Statement: [Queen Anne, numberOfChildrenBorn, 17]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfChildrenBorn Context triple: [Queen Anne, numberOfChildrenBorn, 17]
-
A.
ageAtBirthOfChildren
Indicates the age a parent was at the time each of their children was born.
-
B.
numberOfAdoptedChildren
Indicates the count of children that an entity has legally adopted.
-
C.
hadChildren
Indicates that the subject person is a parent of one or more children.
-
D.
numberOfIllegitimateChildren
Indicates the count of children a person has who are considered illegitimate according to a given legal or social standard.
-
E.
hasNumberOfChildrenWithSpouse
Indicates the count of children that an individual has specifically with a given spouse.
- 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_69f0bd48691081908cecad39bac591e0 |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_6a00053d8004819097ad9cf6431a20a3 |
completed | May 10, 2026, 4:10 a.m. |
| PD | Predicate disambiguation | batch_6a0004b3a82c81908e2bf9a533a93eb6 |
completed | May 10, 2026, 4:08 a.m. |
| PDg | Predicate description generation | batch_6a00053cdcb08190980df73e235e9ad8 |
completed | May 10, 2026, 4:10 a.m. |
Created at: April 28, 2026, 5:06 p.m.