Triple
T35447375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | the Champion of Militarism |
E1024522
|
entity |
| Predicate | hasDebatePartner |
P64392
|
FINISHED |
| Object | the Champion of Liberalism |
—
|
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: the Champion of Liberalism | Statement: [the Champion of Militarism, hasDebatePartner, the Champion of Liberalism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDebatePartner Context triple: [the Champion of Militarism, hasDebatePartner, the Champion of Liberalism]
-
A.
hasDebateParticipants
Indicates that a debate involves the specified participants as parties engaged in the discussion or argument.
-
B.
hasDebatedPerson
chosen
Indicates that one person has engaged in a debate or formal argumentative discussion with another person.
-
C.
hasDebate
Indicates that there is a formal discussion or argument between entities, typically presenting opposing viewpoints on a topic.
-
D.
areDebatesOf
Indicates that the subject entities are debates that concern, involve, or are associated with the object entities.
-
E.
hasDebateStatus
Indicates that an entity (such as a topic, motion, or issue) is associated with a particular stage or condition within a debate process (e.g., proposed, ongoing, concluded).
- 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_69f76df8089481909f0018266ee881b7 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ff4de66ba481908e7184b3cf9d4d2d |
completed | May 9, 2026, 3:08 p.m. |
| PD | Predicate disambiguation | batch_69ff4c702a5881909c6684c74807e945 |
completed | May 9, 2026, 3:02 p.m. |
Created at: May 3, 2026, 4:04 p.m.