Triple
T36134126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Friendly Persuasion universe |
E1045113
|
entity |
| Predicate | primaryReligionDepicted |
P171228
|
FINISHED |
| Object | Quakerism |
E2162
|
NE 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: Quakerism | Statement: [Friendly Persuasion universe, primaryReligionDepicted, Quakerism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryReligionDepicted Context triple: [Friendly Persuasion universe, primaryReligionDepicted, Quakerism]
-
A.
mainReligionDepicted
chosen
Indicates that the primary religion represented or portrayed in a work, object, or context is the one specified.
-
B.
depictsReligiousDenomination
Indicates that one entity visually represents or portrays the religious denomination associated with another entity.
-
C.
portraysReligionAs
Indicates that one entity represents, depicts, or characterizes a religion in a particular way.
-
D.
dominantReligion
Indicates the religion that holds primary or majority status within a given group, region, or entity.
-
E.
majorReligionCanBe
Indicates that an entity can have a particular major religion as one of its possible primary religious affiliations.
- F. None of above.
Provenance (4 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_69f76e36a4508190b5bfc8f594272a4c |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037c8d06cc8190ab6a5e18d9d2571e |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a390d41cd048190b6fb88d460a6f982 |
completed | June 22, 2026, 10:24 a.m. |
| PD | Predicate disambiguation | batch_6a037a0895b48190acdd88dc10db7be7 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:08 p.m.