Triple
T6411691
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richard Cushing |
E127720
|
entity |
| Predicate | officiatedAt |
P32137
|
FINISHED |
| Object | wedding of John F. Kennedy and Jacqueline Bouvier |
—
|
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: wedding of John F. Kennedy and Jacqueline Bouvier | Statement: [Richard Cushing, officiatedAt, wedding of John F. Kennedy and Jacqueline Bouvier]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officiatedAt Context triple: [Richard Cushing, officiatedAt, wedding of John F. Kennedy and Jacqueline Bouvier]
-
A.
ceremonyPresidedBy
chosen
Indicates that a ceremony is overseen, led, or officially conducted by a particular person or authority.
-
B.
ceremonyLocation
Indicates the place where a ceremony is held or takes place.
-
C.
presidedAt
Indicates that one entity held a position of authority or leadership over the proceedings or activities that took place at a specific event or location.
-
D.
placeOfConsecration
Indicates the specific place where a religious or ceremonial consecration of something or someone took place.
-
E.
marriageLocation
Indicates the place where a marriage ceremony or legal union between two people took place.
- 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_69c0083723d88190b1e37b19df162c08 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c068d0f2b88190af06c208d8c01d07 |
completed | March 22, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69c060f40ecc8190b1df17b96767675c |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:41 p.m.