Triple
T23662818
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Danaid trilogy |
E584494
|
entity |
| Predicate | evidenceForText |
P14924
|
FINISHED |
| Object | fragments |
—
|
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: fragments | Statement: [Danaid trilogy, evidenceForText, fragments]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: evidenceForText Context triple: [Danaid trilogy, evidenceForText, fragments]
-
A.
providesEvidenceFor
Indicates that one entity serves as support, justification, or proof for the validity or truth of another entity.
-
B.
evidenceForCharacter
Indicates that something serves as supporting proof or justification for a particular character or characterization.
-
C.
evidenceCited
Indicates that one entity is used as supporting evidence or citation for the claims or content of another entity.
-
D.
hasLanguageEvidenceOf
chosen
Indicates that there is linguistic or textual evidence supporting, documenting, or attesting to the related entity or claim.
-
E.
titleEvidenceType
Indicates the type or category of evidence that supports or justifies a given title.
- 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_69e248ffc0888190ae23c4731eb8b7ac |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b4094c448190be12402422451e89 |
completed | April 29, 2026, 7:32 a.m. |
| PD | Predicate disambiguation | batch_69f118dd13008190a8799b4e9cadbd79 |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 17, 2026, 6:50 p.m.