Triple
T12941728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Opening of the Field |
E309652
|
entity |
| Predicate | usesIntertextualityWith |
P52226
|
FINISHED |
| Object | mythological sources |
—
|
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: mythological sources | Statement: [The Opening of the Field, usesIntertextualityWith, mythological sources]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesIntertextualityWith Context triple: [The Opening of the Field, usesIntertextualityWith, mythological sources]
-
A.
intertextualRelation
chosen
Indicates a relationship in which one text references, echoes, or otherwise meaningfully connects to another text.
-
B.
containsAllusion
Indicates that one entity includes or incorporates an indirect reference or allusion to another entity.
-
C.
interpretedWith
Indicates that something is understood, explained, or given meaning through the use of a particular method, tool, framework, or context.
-
D.
containsInterpretationOf
Indicates that one entity includes or embodies an interpretation or understanding of another entity.
-
E.
hasCulturalInterpretation
Indicates that something is understood, represented, or given meaning within a particular cultural context or tradition.
- 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_69d7bdfa933c8190b5a27aa4a08a19b7 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97e59a4c88190907d05b8d57dae89 |
completed | April 10, 2026, 10:48 p.m. |
| PD | Predicate disambiguation | batch_69d97db69f548190a1a693bc0d6c191a |
completed | April 10, 2026, 10:46 p.m. |
Created at: April 9, 2026, 5:43 p.m.