Triple
T5880645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ferdinand the Felon King |
E130739
|
entity |
| Predicate | criticizesFor |
P62059
|
FINISHED |
| Object | abolishing the liberal constitution |
—
|
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: abolishing the liberal constitution | Statement: [Ferdinand the Felon King, criticizesFor, abolishing the liberal constitution]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: criticizesFor Context triple: [Ferdinand the Felon King, criticizesFor, abolishing the liberal constitution]
-
A.
criticizedFor
Indicates that one entity expresses disapproval or negative judgment of another entity specifically because of a particular action, quality, or outcome.
-
B.
criticismReason
chosen
Indicates that one entity criticizes another entity specifically because of the stated reason.
-
C.
criticizesSource
Indicates that one entity expresses disapproval of, or negative judgment about, the content, behavior, or credibility of another entity that is treated as a source.
-
D.
criticizedConstruct
Indicates that one entity expressed disapproval or negative judgment about another entity’s constructed work, idea, or creation.
-
E.
aimsToCritique
Indicates an intention to analyze and point out faults, limitations, or weaknesses in something.
- 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_69c0085523688190bfd487479ce819e6 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03fe07b7081909f8577ec3a9a1a8d |
completed | March 22, 2026, 7:15 p.m. |
| PD | Predicate disambiguation | batch_69c0334bdc308190ad0d7199ab975588 |
completed | March 22, 2026, 6:22 p.m. |
Created at: March 22, 2026, 3:57 p.m.