Triple
T28001775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Transformations of Puberty |
E707165
|
entity |
| Predicate | concernsAgeGroup |
P108861
|
FINISHED |
| Object | adolescents |
—
|
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: adolescents | Statement: [The Transformations of Puberty, concernsAgeGroup, adolescents]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: concernsAgeGroup Context triple: [The Transformations of Puberty, concernsAgeGroup, adolescents]
-
A.
ageGroupInvolved
chosen
Indicates that a particular age group participates in, is affected by, or is otherwise involved in the specified event or relationship.
-
B.
ageGroup
Indicates the categorical age range or bracket to which an entity belongs.
-
C.
concernsPeriod
Indicates that something is related or applicable to a specific time period or span of time.
-
D.
ageGroupIndicated
Indicates that a specific age range or category is identified or assigned to an entity.
-
E.
ageBased
Indicates a relationship or condition that depends on or is determined by the age of the entities involved.
- 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_69ef96b980d88190a753b2f9a978595a |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f6978fe97081908fe568091ad9b159 |
completed | May 3, 2026, 12:32 a.m. |
| PD | Predicate disambiguation | batch_69f69661e6ec8190948251c7516a32ad |
completed | May 3, 2026, 12:27 a.m. |
Created at: April 27, 2026, 7:57 p.m.