Triple
T34315345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Katherine McAuliffe |
E880565
|
entity |
| Predicate | studiesPopulation |
P50793
|
FINISHED |
| Object | children |
—
|
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: children | Statement: [Katherine McAuliffe, studiesPopulation, children]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: studiesPopulation Context triple: [Katherine McAuliffe, studiesPopulation, children]
-
A.
population
Indicates the total number of individuals living in or present within a specified area or group.
-
B.
keyPopulation
Indicates that the referenced entity belongs to a specific key population group that is of particular importance or priority in a given context (e.g., public health, policy, or services).
-
C.
populationFocus
chosen
Indicates that something is primarily directed toward, concerned with, or designed for a particular population or demographic group.
-
D.
populationClass
Indicates a categorical classification of a population based on shared characteristics, status, or demographic criteria.
-
E.
populationBasis
Indicates that a population measurement is based on, derived from, or defined with respect to a particular reference, criterion, or underlying basis.
- 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_69f349b8bb6c8190ad12a7957a574f04 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f71c35327c8190884f1bfe12bd2cd7 |
completed | May 3, 2026, 9:58 a.m. |
| PD | Predicate disambiguation | batch_69f71822d0e88190ac9731c7ae5a4def |
completed | May 3, 2026, 9:40 a.m. |
Created at: May 1, 2026, 1:57 a.m.