Triple
T18286220
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mugwumps |
E437990
|
entity |
| Predicate | characterizedByOpponentsAs |
P38117
|
FINISHED |
| Object | political traitors |
—
|
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: political traitors | Statement: [Mugwumps, characterizedByOpponentsAs, political traitors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterizedByOpponentsAs Context triple: [Mugwumps, characterizedByOpponentsAs, political traitors]
-
A.
consideredOpponentsAs
Indicates that one entity regarded or treated another entity as an opponent or adversary.
-
B.
viewCharacterizationByOpponents
Indicates how opponents characterize or portray a particular view or position.
-
C.
allegedByOpponents
chosen
Indicates that a claim or accusation is made by opponents of the subject.
-
D.
sawOpponentsAs
Indicates perceiving or regarding certain entities as opponents or adversaries.
-
E.
intendedOpponents
Indicates that one entity is the target or adversary that another entity is meant or designed to oppose or confront.
- 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_69d8b914530c8190b4474d862a2b2a1b |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e500fa2f308190a4744a4ed630b8d9 |
completed | April 19, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69e44fd81c788190b08c6be3b07a08c5 |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:35 a.m.