Triple
T62656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Original sin |
E1243
|
entity |
| Predicate | transmittedTo |
P2329
|
FINISHED |
| Object | all human beings |
—
|
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: all human beings | Statement: [Original sin, transmittedTo, all human beings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: transmittedTo Context triple: [Original sin, transmittedTo, all human beings]
-
A.
givenTo
chosen
Indicates that something is transferred or presented by one entity to another as a recipient.
-
B.
submittedTo
Indicates that one entity has formally sent or presented something (such as a document, request, or work) to another entity for consideration, review, or processing.
-
C.
relocatedTo
Indicates that an entity has moved or been transferred from its previous location to a new specified location.
-
D.
grantedTo
Indicates that a right, permission, or resource has been formally given or assigned by one party to another.
-
E.
notableRecipient
Indicates that an entity has received a notable award, honor, or recognition from 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_69a24ba4f760819081f6638a3c70538a |
completed | Feb. 28, 2026, 1:57 a.m. |
| NER | Named-entity recognition | batch_69a251f74b0881909ad89127b8171277 |
completed | Feb. 28, 2026, 2:24 a.m. |
| PD | Predicate disambiguation | batch_69a24ea242c8819086fe00bf01e6523e |
completed | Feb. 28, 2026, 2:10 a.m. |
Created at: Feb. 28, 2026, 2:02 a.m.