Triple
T20177247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frankenchrist |
E492632
|
entity |
| Predicate | languageOfTextElements |
P129014
|
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: [Frankenchrist, languageOfTextElements, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfTextElements Context triple: [Frankenchrist, languageOfTextElements, English]
-
A.
languageOfTextInImages
Indicates the language used in the textual content that appears within images.
-
B.
languageText
chosen
Indicates that a piece of text is expressed in, or associated with, a particular language.
-
C.
languageOfTranslations
Indicates that one entity is the language into which another entity (such as a text or work) has been translated.
-
D.
contentLanguage
Indicates the language in which the content is expressed or intended to be understood.
-
E.
languageOfRecords
Indicates the language in which the records are written or maintained.
- 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_69da6268a034819081cbd9ea5a1c9475 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e668ec4d7c81909fa4bdc58ed54aeb |
completed | April 20, 2026, 5:57 p.m. |
| PD | Predicate disambiguation | batch_69e55b0c11cc8190836d1eee5945f000 |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 11, 2026, 11:36 p.m.