Triple
T5267552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tony Dungy |
E118973
|
entity |
| Predicate | isEvangelicalChristian |
P62718
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Tony Dungy, isEvangelicalChristian, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isEvangelicalChristian Context triple: [Tony Dungy, isEvangelicalChristian, true]
-
A.
isGospelInfluenced
Indicates that one entity (such as a work, style, or performance) is influenced in its characteristics, form, or content by gospel music or gospel traditions.
-
B.
isStateChurch
Indicates that a church is officially recognized and established as the state’s or government’s official religion.
-
C.
isLargestChristianDenomination
Indicates that the subject Christian denomination has the greatest number of adherents compared to all other Christian denominations in the specified context.
-
D.
ChristianBranch
Indicates that one entity is a branch, denomination, or subgroup within the broader Christian religious tradition of the other entity.
-
E.
isLargestProtestantBodyIn
Indicates that a Protestant denomination is the largest Protestant group within a specified geographic or political region.
- F. None of above. chosen
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_69bd446a42c88190b7ecbef006561d55 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7d5a23908190a24e79d1b29d6fcf |
completed | March 20, 2026, 5:01 p.m. |
| PD | Predicate disambiguation | batch_69bd77c71268819094f9f5203eed392d |
completed | March 20, 2026, 4:37 p.m. |
| PDg | Predicate description generation | batch_69bd7d5906d88190b805977e5a05767a |
completed | March 20, 2026, 5:01 p.m. |
Created at: March 20, 2026, 1:51 p.m.