Triple
T37717455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lev Gleason Publications |
E939494
|
entity |
| Predicate | socialThemes |
P129637
|
FINISHED |
| Object | anti-fascism |
—
|
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: anti-fascism | Statement: [Lev Gleason Publications, socialThemes, anti-fascism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: socialThemes Context triple: [Lev Gleason Publications, socialThemes, anti-fascism]
-
A.
activityTheme
Indicates that an activity is centered around, focused on, or characterized by a particular theme.
-
B.
popularTheme
chosen
Indicates that a particular theme is widely favored, frequently used, or commonly featured across many instances or contexts.
-
C.
themeInspiration
Indicates that one entity serves as the creative source or conceptual basis that inspires or shapes the theme expressed in another entity.
-
D.
sharesThemeWith
Indicates that two entities are related by having the same or closely similar underlying theme or subject matter.
-
E.
socialCategory
Indicates that an entity belongs to, or is classified within, a particular social group, class, or category.
- 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_69f76edc208c8190bc8b9683f75e1024 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fce28d6c3081908bf76f5db63ecf68 |
completed | May 7, 2026, 7:05 p.m. |
| PD | Predicate disambiguation | batch_69fce12d2f08819082134b5eb3db6a24 |
completed | May 7, 2026, 6:59 p.m. |
Created at: May 3, 2026, 4:18 p.m.