Triple
T226312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States Secret Service |
E4320
|
entity |
| Predicate | notableProtectiveIncident |
P9854
|
FINISHED |
| Object | assassination attempt on President Ronald Reagan |
—
|
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: assassination attempt on President Ronald Reagan | Statement: [United States Secret Service, notableProtectiveIncident, assassination attempt on President Ronald Reagan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableProtectiveIncident Context triple: [United States Secret Service, notableProtectiveIncident, assassination attempt on President Ronald Reagan]
-
A.
notableRule
Indicates that a rule or regulation is particularly significant, prominent, or noteworthy within a given context.
-
B.
notableStandard
Indicates that one entity is a widely recognized or influential standard that the other entity is associated with or exemplifies.
-
C.
notableScene
Indicates that a particular scene is especially significant, memorable, or noteworthy within a work or context.
-
D.
notableProsecutor
Indicates that the person served as a prosecutor in a way that is widely recognized as significant or noteworthy.
-
E.
notableSingle
Indicates that the subject is particularly recognized or distinguished for one specific, individual instance (such as a single work, event, or achievement).
- 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_69a257363ffc81909757bde7ab3404da |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25dec53ac8190912f3d79576131fa |
completed | Feb. 28, 2026, 3:15 a.m. |
| PD | Predicate disambiguation | batch_69a25b5739dc8190bad8bfa330ce0499 |
completed | Feb. 28, 2026, 3:04 a.m. |
| PDg | Predicate description generation | batch_69a25dea93b48190863a3704b233aa03 |
completed | Feb. 28, 2026, 3:15 a.m. |
Created at: Feb. 28, 2026, 2:53 a.m.