Triple
T26279490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John F. Kennedy Assassination Records Collection |
E660664
|
entity |
| Predicate | subjectOfRecord |
P40863
|
FINISHED |
| Object | assassination of John F. Kennedy |
—
|
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: assassination of John F. Kennedy | Statement: [John F. Kennedy Assassination Records Collection, subjectOfRecord, assassination of John F. Kennedy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subjectOfRecord Context triple: [John F. Kennedy Assassination Records Collection, subjectOfRecord, assassination of John F. Kennedy]
-
A.
subjectOfDescription
Indicates that the subject is the main entity being described or characterized in a given context or statement.
-
B.
subjectOfCatalog
chosen
Indicates that something is the primary focus or entry described within a catalog or cataloging record.
-
C.
immediateSubjectOf
Indicates that one entity is the direct grammatical subject of another entity (typically a clause, phrase, or verb), without any intervening subject relations.
-
D.
mayBeSubjectOf
Indicates that an entity has the potential or possibility to serve as the subject in a given relation, event, or statement.
-
E.
subjectOfIntroduction
Indicates that one entity is the topic or focus being introduced by 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_69ee812960d081909cff6085cc9fa3a6 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f65aa07c048190a5df30d53d8f0cf5 |
completed | May 2, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69f659cc571c819097e51e531961d812 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 26, 2026, 9:59 p.m.