Triple
T22977724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | God of Carnage |
E571370
|
entity |
| Predicate | languageOfFirstProduction |
P121676
|
FINISHED |
| Object | German |
—
|
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: German | Statement: [God of Carnage, languageOfFirstProduction, German]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfFirstProduction Context triple: [God of Carnage, languageOfFirstProduction, German]
-
A.
firstProduction
Indicates that an entity is the earliest or initial production or manufactured instance associated with another entity.
-
B.
languageOfEarliestForm
Indicates the language in which the earliest known form or attested version of something (e.g., a text, name, or expression) is recorded.
-
C.
firstProductionType
Indicates the type or category of the initial production associated with an entity, such as its first manufacturing, creation, or release process.
-
D.
firstAppearanceLanguage
chosen
Indicates the language in which an entity (such as a work or character) was first introduced or appeared.
-
E.
firstEnglishLanguageProductionDate
Indicates the date on which an entity was first produced or released in the English 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_69e245b3c50481908bb3741ec9f40862 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18292f3788190ab4e9d559e0070c8 |
completed | April 29, 2026, 4:01 a.m. |
| PD | Predicate disambiguation | batch_69ef3b9101f48190a06c69dff26c6441 |
completed | April 27, 2026, 10:33 a.m. |
Created at: April 17, 2026, 3:48 p.m.