Triple
T30084290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lord Hate-Good |
E764558
|
entity |
| Predicate | judgesAsGuilty |
P6535
|
FINISHED |
| Object | Christian |
—
|
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: Christian | Statement: [Lord Hate-Good, judgesAsGuilty, Christian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: judgesAsGuilty Context triple: [Lord Hate-Good, judgesAsGuilty, Christian]
-
A.
guiltyOf
Indicates that an entity has been judged or determined to have committed a particular offense, crime, or wrongful act.
-
B.
convictedBy
chosen
Indicates that an authority, typically a court or judge, has formally found an entity guilty of a crime or offense.
-
C.
pleadedGuilty
Indicates that a defendant formally admitted in court that they committed the offense with which they were charged.
-
D.
resultOfAccusation
Indicates that one entity is the outcome, consequence, or product of an accusation made by another entity.
-
E.
reasonForConviction
Indicates the specific offense or legal basis for which an individual was found guilty or convicted.
- 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_69f22473c0fc8190a926a8051b3b378b |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f67d6b85488190a14499b6bb2c9241 |
completed | May 2, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69f675ff62c48190a634bbb8896973b9 |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 29, 2026, 7:03 p.m.