Triple
T18337265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Acts and Monuments |
E439303
|
entity |
| Predicate | portraysAsOppressors |
P42601
|
FINISHED |
| Object | Catholic authorities |
—
|
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: Catholic authorities | Statement: [Acts and Monuments, portraysAsOppressors, Catholic authorities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portraysAsOppressors Context triple: [Acts and Monuments, portraysAsOppressors, Catholic authorities]
-
A.
portraysAdversary
chosen
Indicates that one entity depicts or represents another entity as an opponent, enemy, or rival.
-
B.
hasOppressiveInstitutionalRole
Indicates that an entity occupies or embodies a position within an institution that systematically enforces or perpetuates oppression or unjust power relations.
-
C.
portraysPersonAs
Indicates that one entity represents, depicts, or characterizes another person in a particular way or role.
-
D.
portraysAsVictim
Indicates that one entity represents or depicts another entity as a victim in a given context or narrative.
-
E.
portraysGroup
Indicates that one entity depicts, represents, or visually illustrates a group of entities as its subject.
- 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_69d8b9175fec8190af865699b4e64d8c |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50ece387881909a5da0aa4370489c |
completed | April 19, 2026, 5:20 p.m. |
| PD | Predicate disambiguation | batch_69e44fe91bc08190906518e1b120fcf0 |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:37 a.m.