Triple
T9494465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nellie Connally |
E228968
|
entity |
| Predicate | carriedOutRole |
P88932
|
FINISHED |
| Object | passenger in presidential limousine during JFK assassination |
—
|
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: passenger in presidential limousine during JFK assassination | Statement: [Nellie Connally, carriedOutRole, passenger in presidential limousine during JFK assassination]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: carriedOutRole Context triple: [Nellie Connally, carriedOutRole, passenger in presidential limousine during JFK assassination]
-
A.
designedRole
Indicates that one entity has been created, configured, or intended to serve a particular function, purpose, or role in relation to another entity.
-
B.
plannedRole
Indicates that an entity is expected or intended to assume a particular role or function in a planned or future context.
-
C.
playedKeyRoleIn
Indicates that an entity had a major, influential, or decisive impact on the occurrence, outcome, or success of another entity or event.
-
D.
possibleRole
Indicates that an entity is capable of or eligible to serve in a particular role or function in a given context.
-
E.
appliedDuringRole
Indicates that an action, method, or process was carried out specifically while an entity was serving in a particular role or position.
- F. None of above. chosen
Provenance (4 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_69ca847424f081908180305555139f7a |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd95ea4a04819092c7842361c6296e |
completed | April 1, 2026, 10:02 p.m. |
| PD | Predicate disambiguation | batch_69cca5651a588190a3cfebe249a223e5 |
completed | April 1, 2026, 4:56 a.m. |
| PDg | Predicate description generation | batch_69cca8c6b0f081908334d6c7cf80e03c |
completed | April 1, 2026, 5:10 a.m. |
Created at: March 30, 2026, 7:56 p.m.