Triple
T7595522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Turner Diaries |
E179847
|
entity |
| Predicate | hasBeenDescribedAs |
P21265
|
FINISHED |
| Object | blueprint for white supremacist terrorism |
—
|
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: blueprint for white supremacist terrorism | Statement: [The Turner Diaries, hasBeenDescribedAs, blueprint for white supremacist terrorism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBeenDescribedAs Context triple: [The Turner Diaries, hasBeenDescribedAs, blueprint for white supremacist terrorism]
-
A.
laterDescribedAs
Indicates that an entity is referred to or characterized by a particular description or label at a later time.
-
B.
isFrequentlyDescribedAs
chosen
Indicates that something is often characterized or referred to using a particular description or set of attributes.
-
C.
hasDescription
Indicates that an entity is associated with a textual description that explains or characterizes it.
-
D.
describedIn
Indicates that information about an entity is contained or documented within a specified source, such as a text, document, or media.
-
E.
describedByAuthorAs
Indicates that one entity is characterized, labeled, or portrayed in a particular way by an author.
- 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_69c69f3487ec8190bf7acdf2dd91e6d6 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f9bbcd8081909a229d7faa2ffdc8 |
completed | March 27, 2026, 9:42 p.m. |
| PD | Predicate disambiguation | batch_69c6f4e2e42c8190afc802c4796c9cc2 |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:53 p.m.