Triple
T4026059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jo's Boys |
E83591
|
entity |
| Predicate | exploresLifeStage |
P53514
|
FINISHED |
| Object | transition from adolescence to adulthood |
—
|
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: transition from adolescence to adulthood | Statement: [Jo's Boys, exploresLifeStage, transition from adolescence to adulthood]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: exploresLifeStage Context triple: [Jo's Boys, exploresLifeStage, transition from adolescence to adulthood]
-
A.
lifeStage
Indicates the specific phase or period in an entity’s development or lifecycle that it is currently in.
-
B.
lifeCycle
Indicates the sequence of stages or phases an entity passes through from its beginning, through development and use, to its end or termination.
-
C.
stages
Indicates that one entity organizes, presents, or sets up another entity (such as an event, performance, or situation) to take place or be displayed.
-
D.
supportsCareerStage
Indicates that one entity provides resources, opportunities, or conditions that are appropriate or beneficial for another entity’s specific stage in their career.
-
E.
educationalStages
Indicates the ordered levels or phases within an education system that a learner progresses through.
- 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_69aed92e29ac819080f7a98b594fec05 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefaec08dc8190a341809059554f84 |
completed | March 9, 2026, 4:53 p.m. |
| PD | Predicate disambiguation | batch_69aef8fc78ec819092d4dab88d85a141 |
completed | March 9, 2026, 4:44 p.m. |
| PDg | Predicate description generation | batch_69aefa815f2c8190818c9ffd9d1bf478 |
completed | March 9, 2026, 4:51 p.m. |
Created at: March 9, 2026, 3:36 p.m.