Triple
T1441751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Connally |
E31088
|
entity |
| Predicate | wasPassengerIn |
P881
|
FINISHED |
| Object | Presidential motorcade in Dallas on November 22, 1963 |
—
|
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: Presidential motorcade in Dallas on November 22, 1963 | Statement: [John Connally, wasPassengerIn, Presidential motorcade in Dallas on November 22, 1963]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasPassengerIn Context triple: [John Connally, wasPassengerIn, Presidential motorcade in Dallas on November 22, 1963]
-
A.
hasPassengerRole
Indicates that an entity participates in a context or event specifically in the capacity or role of a passenger.
-
B.
wasAmong
Indicates that an entity belonged to, was included in, or was part of a particular group, set, or collection.
-
C.
passengers
chosen
Indicates that one entity is traveling in or being transported by another entity, typically as a non-operating occupant.
-
D.
wereInternedBy
Indicates that an entity was forcibly confined, detained, or held in an internment facility by another entity (typically an authority or government).
-
E.
aboardShip
Indicates that one entity is physically on or inside a ship, typically as a passenger, crew member, or cargo.
- 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_69a4991633388190a4d61b5a98aa407a |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c55714588190a95b4f677c21cbaa |
completed | March 1, 2026, 11:01 p.m. |
| PD | Predicate disambiguation | batch_69a4c47a840c819083307a65c027a19e |
completed | March 1, 2026, 10:58 p.m. |
Created at: March 1, 2026, 8 p.m.