Triple
T5259503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adams ring |
E118787
|
entity |
| Predicate | hasArcNameTheme |
P20616
|
FINISHED |
| Object | French Revolution ideals |
—
|
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: French Revolution ideals | Statement: [Adams ring, hasArcNameTheme, French Revolution ideals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasArcNameTheme Context triple: [Adams ring, hasArcNameTheme, French Revolution ideals]
-
A.
hasNicknameTheme
Indicates that an entity’s nickname is based on or associated with a particular theme or motif.
-
B.
hasThemeConnection
chosen
Indicates a relationship where one entity is linked to another through a shared or related theme, topic, or conceptual focus.
-
C.
hasCentralTheme
Indicates that one entity serves as the primary or dominant theme or subject matter of another entity.
-
D.
themedAs
Indicates that something is characterized, styled, or organized according to a particular theme or motif.
-
E.
containsThemeArea
Indicates that one entity includes or encompasses a specific thematic area as part of its scope or content.
- 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_69bd446a42c88190b7ecbef006561d55 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7bcced6881909bdb7ac5471a37fe |
completed | March 20, 2026, 4:54 p.m. |
| PD | Predicate disambiguation | batch_69bd77c55224819096c0bcfcfae79bd3 |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:50 p.m.