Triple
T33834130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Public Law 93-415 |
E867184
|
entity |
| Predicate | createdAct |
P4299
|
FINISHED |
| Object | Juvenile Justice and Delinquency Prevention Act |
—
|
NE NERFINISHED |
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: Juvenile Justice and Delinquency Prevention Act | Statement: [Public Law 93-415, createdAct, Juvenile Justice and Delinquency Prevention Act]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: createdAct Context triple: [Public Law 93-415, createdAct, Juvenile Justice and Delinquency Prevention Act]
-
A.
createdByAct
chosen
Indicates that something came into existence or was produced as the result of a specific act or action.
-
B.
creationAnnounced
Indicates that an entity has publicly announced the initiation or establishment of another entity or creation.
-
C.
createdWork
Indicates that an agent is responsible for bringing a work (such as a creative, intellectual, or produced artifact) into existence.
-
D.
createdTheater
Indicates that an entity founded, established, or was responsible for bringing a theater into existence.
-
E.
madeActressA
Indicates that one entity caused or was responsible for another entity becoming an actress.
- 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_69f34992ad40819087760ed939bd2a7a |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ff289541e0819096eeceb8e6332650 |
completed | May 9, 2026, 12:29 p.m. |
| PD | Predicate disambiguation | batch_69ff281ab1988190920f0443be9f10cc |
completed | May 9, 2026, 12:27 p.m. |
Created at: May 1, 2026, 1:47 a.m.