Triple
T35261864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nomad begins altering Enterprise systems |
E1018388
|
entity |
| Predicate | languageOfOriginalBroadcast |
P58177
|
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: [Nomad begins altering Enterprise systems, languageOfOriginalBroadcast, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfOriginalBroadcast Context triple: [Nomad begins altering Enterprise systems, languageOfOriginalBroadcast, English]
-
A.
languageOfPrimaryBroadcasts
Indicates the language in which an entity’s primary broadcasts are delivered.
-
B.
originalLanguageOfFilmOrTVShow
chosen
Indicates the language in which a film or TV show was originally produced and released.
-
C.
originalLanguageCountry
Indicates the country where a work’s original language is primarily spoken or officially used.
-
D.
appearsInOriginalLanguage
Indicates that something (such as a work, text, or content) is presented or occurs in the language in which it was originally created, rather than in translation.
-
E.
originalLanguageVersionRecordedIn
Indicates that the original-language version of a work was recorded in a specified medium, format, or recording context.
- 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_69f76de4be5c8190a51705c07612cac8 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a00b479c1588190af6e0698b7f8d7f7 |
completed | May 10, 2026, 4:38 p.m. |
| PD | Predicate disambiguation | batch_6a00b4158260819087d0cfad8b18cef4 |
completed | May 10, 2026, 4:36 p.m. |
Created at: May 3, 2026, 4:02 p.m.