Triple
T28320015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Apostle |
E717251
|
entity |
| Predicate | portraysDenomination |
P118053
|
FINISHED |
| Object | Evangelical Christianity |
—
|
NE NERFINISHED |
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: Evangelical Christianity | Statement: [The Apostle, portraysDenomination, Evangelical Christianity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portraysDenomination Context triple: [The Apostle, portraysDenomination, Evangelical Christianity]
-
A.
portraysReligionAs
Indicates that one entity represents, depicts, or characterizes a religion in a particular way.
-
B.
depictsReligiousDenomination
chosen
Indicates that one entity visually represents or portrays the religious denomination associated with another entity.
-
C.
denominations
Indicates the specific units or categories into which something (often money, values, or items) is divided or classified.
-
D.
denominationalCharacter
Indicates the specific religious denomination or sect with which an entity is affiliated or characterized.
-
E.
religionOfCharacterPortrayed
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_69eff6e6c3b08190ad78de6ba7f04548 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f7c777e924819081a6634f549fe552 |
completed | May 3, 2026, 10:08 p.m. |
| PD | Predicate disambiguation | batch_69f7c475c58c8190a883554231e88c88 |
completed | May 3, 2026, 9:56 p.m. |
Created at: April 28, 2026, 12:23 a.m.