Triple
T10810051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orson Welles as Father Mapple |
E255072
|
entity |
| Predicate | characterReligiousDenomination |
P83945
|
FINISHED |
| Object | Christian preacher |
—
|
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: Christian preacher | Statement: [Orson Welles as Father Mapple, characterReligiousDenomination, Christian preacher]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterReligiousDenomination Context triple: [Orson Welles as Father Mapple, characterReligiousDenomination, Christian preacher]
-
A.
religiousAffiliation
Indicates that one entity has a specified religious association, belief system, or denominational membership.
-
B.
religiousCharacteristic
Indicates that one entity has a religious attribute, quality, or affiliation that characterizes or distinguishes it in a religious context.
-
C.
declaredReligion
Indicates that an entity has formally stated or reported a particular religious affiliation.
-
D.
hostReligion
Indicates that an entity organizes, accommodates, or provides a venue for a particular religious group, event, or practice.
-
E.
religionOfCharacterPortrayed
chosen
Indicates that a work portrays a character as adhering to or being associated with a particular religion.
- 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_69d6aa61c15c8190a1839550c56e75e1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d733b6efc48190bb64b5a8fac843c4 |
completed | April 9, 2026, 5:05 a.m. |
| PD | Predicate disambiguation | batch_69d6f3188f00819094ee8d65b187a333 |
completed | April 9, 2026, 12:30 a.m. |
Created at: April 8, 2026, 9:18 p.m.