Triple
T21029871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lesser Banishing Ritual of the Pentagram |
E518034
|
entity |
| Predicate | languageOfOriginalInstructions |
P134689
|
FINISHED |
| Object | English |
—
|
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: English | Statement: [Lesser Banishing Ritual of the Pentagram, languageOfOriginalInstructions, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfOriginalInstructions Context triple: [Lesser Banishing Ritual of the Pentagram, languageOfOriginalInstructions, English]
-
A.
languageOfInstructions
chosen
Indicates that one entity specifies the language in which instructions or guidance are provided for another entity.
-
B.
languageOfOriginalDescription
Indicates that something is expressed or documented in its initial or source language version.
-
C.
languageOfInterpretation
Indicates the language in which something (such as text, speech, or content) is interpreted or understood.
-
D.
languageOfOriginalGrant
Indicates the language in which the original grant or granting document was written or issued.
-
E.
originalLanguageText
Indicates that a text is expressed in its original, untranslated language.
- 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_69e0b503275c8190afd9a163f997c709 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc7fd3ec81908ac237047f9b0d7a |
completed | April 21, 2026, 4:26 a.m. |
| PD | Predicate disambiguation | batch_69e5dbf274ac81909bbf245627dc8fdc |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 16, 2026, 1:55 p.m.