Triple
T37808095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Copperheads |
E942558
|
entity |
| Predicate | usedByOpponentsAs |
P13821
|
FINISHED |
| Object | pejorative label |
—
|
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: pejorative label | Statement: [Copperheads, usedByOpponentsAs, pejorative label]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedByOpponentsAs Context triple: [Copperheads, usedByOpponentsAs, pejorative label]
-
A.
usedAgainst
chosen
Indicates that one entity is employed, applied, or deployed in opposition to, or for the purpose of affecting, another entity.
-
B.
allegedByOpponents
Indicates that a claim or accusation is made by opponents of the subject.
-
C.
consideredOpponentsAs
Indicates that one entity regarded or treated another entity as an opponent or adversary.
-
D.
consequenceForOpponents
Indicates that one party’s actions or status result in negative outcomes, penalties, or repercussions specifically for their opponents.
-
E.
sawOpponentsAs
Indicates perceiving or regarding certain entities as opponents or adversaries.
- 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_69f76ee8104c8190ab17133ccd8f86e6 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fd974d75e08190af46b1d608769f3b |
completed | May 8, 2026, 7:57 a.m. |
| PD | Predicate disambiguation | batch_69fd94ff792c8190bedf4a639d3da809 |
completed | May 8, 2026, 7:47 a.m. |
Created at: May 3, 2026, 4:19 p.m.