Triple
T12073224
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Heretic’s Apprentice |
E287476
|
entity |
| Predicate | hasAccusation |
P873
|
FINISHED |
| Object | heresy |
—
|
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: heresy | Statement: [The Heretic’s Apprentice, hasAccusation, heresy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAccusation Context triple: [The Heretic’s Apprentice, hasAccusation, heresy]
-
A.
hasAccuser
Indicates that one entity serves as the accuser of another entity in a dispute, complaint, or allegation.
-
B.
hasAccusedRole
Indicates that one entity has the role or capacity of making an accusation against another entity.
-
C.
accusationType
chosen
Indicates the specific category or nature of an accusation made by one party against another.
-
D.
hasAccusedAssassin
Indicates that one entity has formally or informally claimed that another entity is the assassin responsible for a killing.
-
E.
accusedOf
Indicates that one entity has formally alleged or claimed that another entity committed a specific wrongdoing or offense.
- 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_69d6ab4846e081908ee7bbd66a6d3459 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9100b4ca8819084845ca4c13e34ce |
completed | April 10, 2026, 2:58 p.m. |
| PD | Predicate disambiguation | batch_69d902bda47c8190b94860b31df4a98c |
completed | April 10, 2026, 2:01 p.m. |
Created at: April 8, 2026, 9:48 p.m.