Triple
T1409163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Scalpel, The Sword |
E31765
|
entity |
| Predicate | subjectPoliticalActivity |
P4806
|
FINISHED |
| Object | communism |
—
|
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: communism | Statement: [The Scalpel, The Sword, subjectPoliticalActivity, communism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subjectPoliticalActivity Context triple: [The Scalpel, The Sword, subjectPoliticalActivity, communism]
-
A.
postPoliticalActivity
Indicates that an entity engages in political actions or activities following a particular event, period, or condition.
-
B.
electoralActivity
Indicates involvement in activities related to organizing, participating in, or influencing an election or electoral process.
-
C.
participatesInPoliticsOf
Indicates involvement or active engagement by one entity in the political processes, affairs, or governance activities of another entity.
-
D.
politicalContribution
Indicates that one entity provides money or resources to support the political activities, campaigns, or objectives of another entity.
-
E.
politicalSupporter
chosen
Indicates that one entity supports, endorses, or aligns with the political views, actions, or position of another entity.
- 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_69a49918e1f88190ba610f9dc8114578 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c3c10f44819085e1c4601423740d |
completed | March 1, 2026, 10:54 p.m. |
| PD | Predicate disambiguation | batch_69a4bf048b648190ab77d9b45cb4855f |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:59 p.m.