Triple
T4922373
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hosea |
E110494
|
entity |
| Predicate | symbolicActionTheme |
P52867
|
FINISHED |
| Object | marriage as metaphor for God's relationship with Israel |
—
|
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: marriage as metaphor for God's relationship with Israel | Statement: [Hosea, symbolicActionTheme, marriage as metaphor for God's relationship with Israel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: symbolicActionTheme Context triple: [Hosea, symbolicActionTheme, marriage as metaphor for God's relationship with Israel]
-
A.
themeFor
Indicates that something serves as the central subject, topic, or focus for another thing (such as an event, work, or activity).
-
B.
themedAs
Indicates that something is characterized, styled, or organized according to a particular theme or motif.
-
C.
signatureTheme
Indicates that something serves as a distinctive, defining theme strongly associated with a particular entity or context.
-
D.
performedThemeFor
Indicates that an agent carried out or executed a performance specifically for a particular theme or subject.
-
E.
indicatorTheme
chosen
Indicates that something serves as a thematic indicator or signal for a particular topic, concept, or condition.
- 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_69bd4413f9908190afcff44d7929cc4c |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ffc2ab08190992db2400562bcee |
completed | March 20, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69bd6c3421588190ab08e92b9558042e |
completed | March 20, 2026, 3:48 p.m. |
Created at: March 20, 2026, 1:30 p.m.