Triple
T28826675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gudrun |
E727925
|
entity |
| Predicate | timeOfCompositionOfSources |
P57095
|
FINISHED |
| Object | medieval period |
—
|
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: medieval period | Statement: [Gudrun, timeOfCompositionOfSources, medieval period]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeOfCompositionOfSources Context triple: [Gudrun, timeOfCompositionOfSources, medieval period]
-
A.
eraOfCompositionOfSources
chosen
Indicates the historical time period during which the referenced sources were originally composed.
-
B.
compositionEndTime
Indicates the point in time at which a composition or creative work is considered to have been completed.
-
C.
dateOfComposition
Indicates the calendar date or time period when a particular work was created or composed.
-
D.
compositionFrom
Indicates that something is formed or made up from specified constituent parts or materials.
-
E.
dateOfCompositionHypothesis
Indicates a hypothesized or uncertain date when something (such as a work or document) was composed.
- 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_69f0319dc6088190bbfaa206d40ed74a |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f70e8755a48190931eaa77946f9460 |
completed | May 3, 2026, 8:59 a.m. |
| PD | Predicate disambiguation | batch_69f70abc00848190a1c3f495ef6c8dc6 |
completed | May 3, 2026, 8:43 a.m. |
Created at: April 28, 2026, 6:36 a.m.