Triple
T35068407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Theosophy (Rudolf Steiner book) |
E1011798
|
entity |
| Predicate | formsCoreTextOf |
P11293
|
FINISHED |
| Object | Anthroposophy |
—
|
NE NERFINISHED |
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: Anthroposophy | Statement: [Theosophy (Rudolf Steiner book), formsCoreTextOf, Anthroposophy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formsCoreTextOf Context triple: [Theosophy (Rudolf Steiner book), formsCoreTextOf, Anthroposophy]
-
A.
coreText
chosen
Indicates that something serves as the main or primary textual content within a larger work or context.
-
B.
coreTextReferenced
Indicates that one text directly cites, mentions, or otherwise refers to another core text as a reference point.
-
C.
textContent
Indicates that one entity is the textual content or written material contained within another entity.
-
D.
canonicalText
Indicates that a standardized, authoritative textual representation is associated with an entity or expression.
-
E.
formsOver
Indicates that one entity takes shape, develops, or comes into existence above or on top of another entity.
- 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_69f76dd193108190af2528186f25b72a |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fd2839880c819099a7a89783f2270e |
completed | May 8, 2026, 12:03 a.m. |
| PD | Predicate disambiguation | batch_69fd23dc5da48190ae8ba08947d34956 |
completed | May 7, 2026, 11:44 p.m. |
Created at: May 3, 2026, 4:01 p.m.