Triple
T38084273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luther’s 1520 reforming writings |
E950931
|
entity |
| Predicate | disseminationChannel |
P72010
|
FINISHED |
| Object | pamphlet literature |
—
|
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: pamphlet literature | Statement: [Luther’s 1520 reforming writings, disseminationChannel, pamphlet literature]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: disseminationChannel Context triple: [Luther’s 1520 reforming writings, disseminationChannel, pamphlet literature]
-
A.
mediaDistribution
Indicates the relationship by which media content is delivered, shared, or made available from a source to one or more recipients or channels.
-
B.
channeledBy
Indicates that something (such as energy, information, or a process) is directed, transmitted, or guided through a particular intermediary or conduit.
-
C.
channels
Indicates that one entity serves as a medium, route, or conduit through which another entity is directed, transmitted, or delivered.
-
D.
typicalChannel
chosen
Indicates the usual or most commonly used communication or distribution channel through which an interaction, message, or transaction typically occurs.
-
E.
eventDistribution
Indicates how occurrences of an event are spread or allocated across different times, locations, or categories.
- 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_69f76f03a3608190a73fd6df87c792a8 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fc4748843c8190931432653be4890c |
completed | May 7, 2026, 8:03 a.m. |
| PD | Predicate disambiguation | batch_69fc45646ce481908caf292ff9f06e15 |
completed | May 7, 2026, 7:55 a.m. |
Created at: May 3, 2026, 4:21 p.m.