Triple
T30134916
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belmont Report |
E765961
|
entity |
| Predicate | setsForthPrinciple |
P11867
|
FINISHED |
| Object | respect for persons |
—
|
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: respect for persons | Statement: [Belmont Report, setsForthPrinciple, respect for persons]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: setsForthPrinciple Context triple: [Belmont Report, setsForthPrinciple, respect for persons]
-
A.
establishesPrinciple
chosen
Indicates that an entity formulates, defines, or sets forth a foundational rule, guideline, or standard that others are expected to follow or build upon.
-
B.
principle4
Indicates that an entity embodies, adheres to, or is governed by a specific fourth principle within a defined set of principles.
-
C.
implementsPrinciple
Indicates that an entity applies, follows, or puts into practice a specified principle in its design, behavior, or operation.
-
D.
principle7
Indicates that an entity is associated with, governed by, or exemplifies the seventh principle in a defined set of principles.
-
E.
principle1
Indicates that one entity serves as a primary rule, guideline, or foundational principle governing or guiding another entity.
- 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_69f22477d1a081908df2b7e6ed16859d |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f67e4b8e4c8190ac23fef21a55d5f0 |
completed | May 2, 2026, 10:44 p.m. |
| PD | Predicate disambiguation | batch_69f673c664f08190b4d66cdc305e10db |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 29, 2026, 7:16 p.m.