Triple
T5135662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grendel's mother |
E115812
|
entity |
| Predicate | interpretationSubject |
P450
|
FINISHED |
| Object | feminist literary criticism |
—
|
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: feminist literary criticism | Statement: [Grendel's mother, interpretationSubject, feminist literary criticism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: interpretationSubject Context triple: [Grendel's mother, interpretationSubject, feminist literary criticism]
-
A.
subjectMatter
chosen
Indicates the topic, theme, or content area that something (such as a work, document, or discussion) is about.
-
B.
subjectImpliedAs
Indicates that the subject of an action or statement is not explicitly stated but is understood or inferred from context.
-
C.
containsInterpretationOf
Indicates that one entity includes or embodies an interpretation or understanding of another entity.
-
D.
interpretationMethod
Indicates the method, technique, or process used to interpret or derive meaning from something.
-
E.
primaryInterpretation
Indicates that one interpretation of an entity, expression, or signal is designated as its main or most significant meaning among possible alternatives.
- 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_69bd44459a988190a772a5c2ec6a1965 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7fef2e8c8190982dd67f50295ada |
completed | March 20, 2026, 5:12 p.m. |
| PD | Predicate disambiguation | batch_69bd77ac2fc48190abeebb003a82384c |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:43 p.m.