Triple
T25475631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Hinckley Jr. |
E638422
|
entity |
| Predicate | victimShot |
P64161
|
FINISHED |
| Object | Ronald Reagan |
—
|
NE NERFINISHED |
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: Ronald Reagan | Statement: [John Hinckley Jr., victimShot, Ronald Reagan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: victimShot Context triple: [John Hinckley Jr., victimShot, Ronald Reagan]
-
A.
victimDiedIn
Indicates that the victim lost their life as a result of, or during the course of, the referenced event or circumstance.
-
B.
wasShotAt
Indicates that an entity directed gunfire or a shooting attempt toward another entity.
-
C.
victimSide
Indicates that one entity is on, represents, or corresponds to the side of the victim in a conflict, incident, or harmful event.
-
D.
victimRole
chosen
Indicates that one entity participates in an event or situation specifically in the role of the victim or harmed party.
-
E.
killedInAttack
Indicates that an entity died as a direct result of a specific attack event.
- 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_69e75db9b964819096802dcf502e577e |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f754447c8190acc16c440f8bb03d |
completed | May 2, 2026, 1:08 p.m. |
| PD | Predicate disambiguation | batch_69f49377411c8190b2188de444d76795 |
completed | May 1, 2026, 11:50 a.m. |
Created at: April 21, 2026, 2:26 p.m.