Triple
T25334698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samuel Montagu & Co. |
E635243
|
entity |
| Predicate | hasFounderReligion |
P121178
|
FINISHED |
| Object | Judaism |
—
|
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: Judaism | Statement: [Samuel Montagu & Co., hasFounderReligion, Judaism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFounderReligion Context triple: [Samuel Montagu & Co., hasFounderReligion, Judaism]
-
A.
foundedReligion
Indicates that an entity established or originated a particular religion.
-
B.
hasFounderOfReligion
Indicates that an entity is the person who founded or established a particular religion.
-
C.
hasReligiousFounderAssociated
Indicates that an entity is associated with a specific religious founder, typically through origin, dedication, or foundational influence.
-
D.
hasReligiousMovementTypeFoundedThere
Indicates that a particular religious movement was founded or originated at the referenced location.
-
E.
religionOfFoundingFamily
chosen
Indicates the religious affiliation practiced or identified with by the family that originally founded an 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_69e75a99bd6481909476115b35b9a8e4 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f63fd6c68481908c542aa03e297b9c |
completed | May 2, 2026, 6:17 p.m. |
| PD | Predicate disambiguation | batch_69f63c6456608190b94e7c2e2c2a4824 |
completed | May 2, 2026, 6:03 p.m. |
Created at: April 21, 2026, 1:32 p.m.