Triple
T13834156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sandy Hook Elementary School |
E332479
|
entity |
| Predicate | inspiredPolicyDebate |
P111687
|
FINISHED |
| Object | gun control in the United States |
—
|
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: gun control in the United States | Statement: [Sandy Hook Elementary School, inspiredPolicyDebate, gun control in the United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inspiredPolicyDebate Context triple: [Sandy Hook Elementary School, inspiredPolicyDebate, gun control in the United States]
-
A.
debateTopic
Indicates that one entity serves as the subject or issue being discussed or argued about in a debate involving another entity.
-
B.
fieldOfDebate
Indicates that something is the subject or domain around which a debate or argumentative discussion is centered.
-
C.
inspiredByPolicy
Indicates that an action, decision, or entity is motivated, guided, or shaped by a specific policy or set of policies.
-
D.
majorDebateWith
Indicates a significant, often public or formal, debate or dispute occurring between two entities.
-
E.
debatedWithin
Indicates that something is discussed or argued about within a particular group, context, or domain.
- 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_69d81c5ae7c88190b0dd41bdafeb5999 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de029a34bc8190ae892ef7b09fc9e9 |
completed | April 14, 2026, 9:02 a.m. |
| PD | Predicate disambiguation | batch_69dbc86668e08190ba9135d1c3f38d35 |
completed | April 12, 2026, 4:29 p.m. |
| PDg | Predicate description generation | batch_69dcad0eea9881908f71e1eed9a2446b |
completed | April 13, 2026, 8:45 a.m. |
Created at: April 9, 2026, 10:13 p.m.