Triple
T35105301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Key to All Mythologies |
E1013134
|
entity |
| Predicate | mediumInFiction |
P16443
|
FINISHED |
| Object | manuscript |
—
|
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: manuscript | Statement: [The Key to All Mythologies, mediumInFiction, manuscript]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mediumInFiction Context triple: [The Key to All Mythologies, mediumInFiction, manuscript]
-
A.
fictionalMedium
chosen
Indicates that a work of fiction is presented or conveyed through a particular medium or format (such as a book, film, game, or comic).
-
B.
mediumDepictedIn
Indicates that a particular medium or material is represented, shown, or referenced within another work or depiction.
-
C.
mediumAdaptation
Indicates that one work has been adapted into another form or medium (e.g., book to film, comic to TV series).
-
D.
mediumLanguage
Indicates that the medium (such as a work, message, or communication channel) is expressed in or associated with a particular language.
-
E.
mediumOfRecord
Indicates the primary medium or format through which an event, work, or information is officially documented or recorded.
- 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_69f76dd556248190808b4c4f43debebb |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78f63c8788190b253a18de5ca1312 |
completed | May 3, 2026, 6:09 p.m. |
| PD | Predicate disambiguation | batch_69f78e2d71248190b850c2802ec170c0 |
completed | May 3, 2026, 6:04 p.m. |
Created at: May 3, 2026, 4:01 p.m.