Triple
T6953249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Love & Basketball |
E161178
|
entity |
| Predicate | followsFromChildhoodTo |
P70572
|
FINISHED |
| Object | 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: adulthood | Statement: [Love & Basketball, followsFromChildhoodTo, adulthood]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: followsFromChildhoodTo Context triple: [Love & Basketball, followsFromChildhoodTo, adulthood]
-
A.
spentChildhoodIn
Indicates that a person or entity spent the majority or formative years of their childhood in a particular place or location.
-
B.
children
Indicates that one entity is the offspring or direct descendant of another entity.
-
C.
followsGenerationsOf
Indicates that one entity comes after and is separated from another by multiple generations in a lineage or succession.
-
D.
childrenWith
Indicates that two or more entities share one or more children together as parents or guardians.
-
E.
transitionAge
chosen
Indicates a change in state or status of an entity from one defined phase, condition, or category to another at a particular point or period in time.
- 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_69c68852a9a0819097797e31d492e273 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dacca12481908942ba793a104cc3 |
completed | March 27, 2026, 7:30 p.m. |
| PD | Predicate disambiguation | batch_69c6d7bf0a7c8190b5ed4aca22ba9b97 |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:29 p.m.