Triple
T658816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Piers Plowman |
E11707
|
entity |
| Predicate | originalVerseForm |
P6967
|
FINISHED |
| Object | unrhymed alliterative verse |
—
|
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: unrhymed alliterative verse | Statement: [Piers Plowman, originalVerseForm, unrhymed alliterative verse]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalVerseForm Context triple: [Piers Plowman, originalVerseForm, unrhymed alliterative verse]
-
A.
originalForm
Indicates that one entity is the earlier, source, or initial version from which another entity is derived or transformed.
-
B.
verseForm
chosen
Indicates the specific structural or metrical pattern in which a verse or poem is composed.
-
C.
originalText
Indicates that one text is the initial, unmodified version from which other versions, translations, or representations are derived.
-
D.
originalLanguagePhrase
Indicates that one phrase is the original-language version from which another phrase (typically a translation or adaptation) is derived.
-
E.
originalCitationForm
Indicates the relationship where one form of a cited work is the initial or primary version from which other citation forms or variants are derived.
- 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_69a4932862a0819098be659c814e4981 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4a0f55f7481909e052a25bd12d455 |
completed | March 1, 2026, 8:26 p.m. |
| PD | Predicate disambiguation | batch_69a49d1406ec8190abf546549264c85d |
completed | March 1, 2026, 8:09 p.m. |
Created at: March 1, 2026, 7:36 p.m.