Triple
T12643550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luther |
E301959
|
entity |
| Predicate | mostFamousBearerDenomination |
P106153
|
FINISHED |
| Object | Lutheran precursor |
—
|
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: Lutheran precursor | Statement: [Luther, mostFamousBearerDenomination, Lutheran precursor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mostFamousBearerDenomination Context triple: [Luther, mostFamousBearerDenomination, Lutheran precursor]
-
A.
denominationDepicted
Indicates that an item visually represents or shows the monetary denomination (value) of a currency.
-
B.
denominationName
Indicates the specific religious or organizational denomination to which an entity belongs or is associated.
-
C.
principalDenominationOf
Indicates that one entity is the main or primary denomination or religious branch to which another entity (such as an organization, institution, or group) belongs or is affiliated.
-
D.
honoredInDenomination
Indicates that an individual or entity is formally recognized, venerated, or given special honor within a particular religious denomination.
-
E.
denominationRank
Indicates the relative hierarchical level or status of a denomination within a broader organizational or categorical structure.
- 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_69d7bdec9f9c8190b4bac675b7588211 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961ae493481908f82e0d05dce20bd |
completed | April 10, 2026, 8:46 p.m. |
| PD | Predicate disambiguation | batch_69d960b47130819097e1162ed4fc993a |
completed | April 10, 2026, 8:42 p.m. |
| PDg | Predicate description generation | batch_69d961acadb8819098de743bc951fedb |
completed | April 10, 2026, 8:46 p.m. |
Created at: April 9, 2026, 5:17 p.m.