Triple
T13936253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guinevere (poem) |
E335128
|
entity |
| Predicate | chronologicalPositionInIdylls |
P23880
|
FINISHED |
| Object | one of the later idylls |
—
|
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: one of the later idylls | Statement: [Guinevere (poem), chronologicalPositionInIdylls, one of the later idylls]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chronologicalPositionInIdylls Context triple: [Guinevere (poem), chronologicalPositionInIdylls, one of the later idylls]
-
A.
chronologicalPosition
Indicates the relative ordering of one event or entity in time with respect to another.
-
B.
chronologicalPositionInLabors
Indicates the specific order or sequence in which a given labor occurs within a defined series of labors.
-
C.
positionInStory
Indicates the point or role an event, character, or element occupies within the overall sequence or structure of a story.
-
D.
chronologicalOrderInSeries
chosen
Indicates that one entity appears earlier or later than another within an ordered sequence or series.
-
E.
chronologicalPoint
Indicates that something is associated with, occurs at, or is anchored to a specific point in time within a chronological sequence.
- 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_69d81c5f739081908bc05b2461f54828 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2cf42878819085146670d7b92605 |
completed | April 14, 2026, 12:03 p.m. |
| PD | Predicate disambiguation | batch_69dbc873052c8190b33ff7f7c5a4e7ee |
completed | April 12, 2026, 4:29 p.m. |
Created at: April 9, 2026, 10:17 p.m.