Triple
T5090448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pablo Christiani |
E114738
|
entity |
| Predicate | consequenceOfActivities |
P812
|
FINISHED |
| Object | increased pressure on Jewish communities to convert |
—
|
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: increased pressure on Jewish communities to convert | Statement: [Pablo Christiani, consequenceOfActivities, increased pressure on Jewish communities to convert]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: consequenceOfActivities Context triple: [Pablo Christiani, consequenceOfActivities, increased pressure on Jewish communities to convert]
-
A.
hasConsequence
chosen
Indicates that one event, action, or condition leads to or results in another as its outcome or effect.
-
B.
typicalActivity
Indicates that an entity is commonly or characteristically engaged in a particular activity.
-
C.
otherActivity
Indicates that an entity is engaged in an activity that is different from a primary, specified, or expected activity.
-
D.
activity
Indicates that an entity is engaged in or performing a particular action, behavior, or process.
-
E.
settingOfActivities
Indicates that a particular place or context serves as the environment in which certain activities occur or are carried out.
- 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_69bd443e941881908eb4e8c685b6f656 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd75407e6881908d00377a256ff37e |
completed | March 20, 2026, 4:26 p.m. |
| PD | Predicate disambiguation | batch_69bd715c0a448190afc837c6c31dc6ab |
completed | March 20, 2026, 4:10 p.m. |
Created at: March 20, 2026, 1:40 p.m.