Triple
T37461029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Y’Shaarj, Rage Unbound |
E930915
|
entity |
| Predicate | voiceoverLanguage |
P181798
|
FINISHED |
| Object | Localized per client language |
—
|
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: Localized per client language | Statement: [Y’Shaarj, Rage Unbound, voiceoverLanguage, Localized per client language]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: voiceoverLanguage Context triple: [Y’Shaarj, Rage Unbound, voiceoverLanguage, Localized per client language]
-
A.
voiceActingLanguage
Indicates the language in which a voice acting performance is delivered.
-
B.
voiceRecordingLanguage
chosen
Indicates the language in which a voice recording is spoken or produced.
-
C.
languageSpokenOnScreen
Indicates that a particular language is used in spoken dialogue or audible communication within an on-screen work (such as a film, show, or video).
-
D.
voiceInUSDub
Indicates that an entity provides the voice performance for a character or role in the United States (U.S.) dubbed version of a work.
-
E.
languageOfVocalization
Indicates the language in which a vocalization (such as speech or singing) is produced.
- 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_69f76ec1a1148190b0a961f188d621b0 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcda3699948190adb57625bae08091 |
completed | May 7, 2026, 6:30 p.m. |
| PD | Predicate disambiguation | batch_69fcd8fd16d08190b0aca6e19a632e99 |
completed | May 7, 2026, 6:25 p.m. |
Created at: May 3, 2026, 4:17 p.m.