Triple
T1250202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | State funeral of John F. Kennedy |
E26855
|
entity |
| Predicate | militaryHonors |
P20117
|
FINISHED |
| Object | full military honors |
—
|
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: full military honors | Statement: [State funeral of John F. Kennedy, militaryHonors, full military honors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: militaryHonors Context triple: [State funeral of John F. Kennedy, militaryHonors, full military honors]
-
A.
militaryAward
Indicates that an entity has received or been granted a specific military honor, decoration, or award.
-
B.
battleHonors
Indicates that an entity has been awarded or is associated with specific honors or distinctions earned through participation in battles or military engagements.
-
C.
burialHonors
chosen
Indicates a relationship where an entity is recognized or commemorated with special respect or distinction in the context of their burial or interment.
-
D.
highestStateHonorOf
Indicates that one entity is the most prestigious state-level honor or award conferred by the other entity.
-
E.
peacetimeAward
Indicates that an award or honor is given during a period of peace rather than during wartime or active conflict.
- 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_69a49487a9c48190ba9b05348fd1b53f |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4bf84c73c8190bbb14265cd7ab6ae |
completed | March 1, 2026, 10:36 p.m. |
| PD | Predicate disambiguation | batch_69a4bb6b075881908e867c25b5080e25 |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:47 p.m.