Triple
T36596856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Good Men |
E902825
|
entity |
| Predicate | persecutedInEvent |
P33150
|
FINISHED |
| Object | Albigensian Crusade |
—
|
NE NERFINISHED |
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: Albigensian Crusade | Statement: [Good Men, persecutedInEvent, Albigensian Crusade]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: persecutedInEvent Context triple: [Good Men, persecutedInEvent, Albigensian Crusade]
-
A.
persecutedDuring
Indicates that one entity systematically harassed, oppressed, or victimized another entity during a specified time period or event.
-
B.
persecutedIn
chosen
Indicates that an entity is subjected to oppression, harassment, or unfair treatment within a particular place, context, or time period.
-
C.
persecutedAfter
Indicates that one entity is subjected to persecution by another entity after a specified event or point in time.
-
D.
persecutionOf
Indicates the act of subjecting an entity to persistent, often unjust hostility, harassment, or oppression, typically on the basis of identity, beliefs, or group membership.
-
E.
wasPersecutedBy
Indicates that an entity was subjected to persistent hostility, oppression, or harmful treatment carried out by 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_69f76e66b7b88190848f7a3e1188915f |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c371931c8190afb1d4dd5157f92c |
completed | May 3, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69f7c1baf25c8190a78dd54a400d2c50 |
completed | May 3, 2026, 9:44 p.m. |
Created at: May 3, 2026, 4:11 p.m.