Triple
T37319574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Are You There God? It’s Me, Margaret. |
E926433
|
entity |
| Predicate | religionsDepicted |
P6676
|
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: [Are You There God? It’s Me, Margaret., religionsDepicted, Judaism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: religionsDepicted Context triple: [Are You There God? It’s Me, Margaret., religionsDepicted, Judaism]
-
A.
mainReligionDepicted
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.
religionsPresent
chosen
Indicates that one or more religions are present, practiced, or represented in relation to a given entity or context.
-
D.
portraysReligionAs
Indicates that one entity represents, depicts, or characterizes a religion in a particular way.
-
E.
hasReligiousRepresentation
Indicates that one entity serves as a religious symbol, figure, or embodiment for another entity or within a particular context.
- 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_69f76eb28af88190b093b32e3fd614ab |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a0019b0e9fc81909494320f05e81742 |
completed | May 10, 2026, 5:37 a.m. |
| PD | Predicate disambiguation | batch_6a00193379e0819096d1985686ce10e3 |
completed | May 10, 2026, 5:35 a.m. |
Created at: May 3, 2026, 4:16 p.m.