Triple
T6897376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Susan Crown |
E159403
|
entity |
| Predicate | hasGivenFocusTo |
P34683
|
FINISHED |
| Object | youth social and emotional learning |
—
|
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: youth social and emotional learning | Statement: [Susan Crown, hasGivenFocusTo, youth social and emotional learning]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGivenFocusTo Context triple: [Susan Crown, hasGivenFocusTo, youth social and emotional learning]
-
A.
hasProgramFocus
chosen
Indicates that an entity (such as a program or initiative) is oriented around or primarily concerned with a particular thematic area, topic, or objective.
-
B.
mayProvideFocus
Indicates that one entity can potentially direct attention, emphasis, or concentration toward another entity or aspect.
-
C.
hasPrimaryFocus
Indicates that something is the main subject, concern, or area of attention for an entity or activity.
-
D.
haveFocusSystem
Indicates that an entity is currently the primary target or active focus within a system or context.
-
E.
hasMovementFocus
Indicates that an entity’s primary attention, effort, or activity is directed toward movement or locomotion.
- 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_69c6883822e0819091e321526f20ae0a |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6d95c44a48190876d62749411bbb6 |
completed | March 27, 2026, 7:24 p.m. |
| PD | Predicate disambiguation | batch_69c6d7b7681481909ec50509b19fcf81 |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:24 p.m.