Triple
T31824487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gekko |
E812352
|
entity |
| Predicate | languageOfOriginalSeries |
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: [Gekko, languageOfOriginalSeries, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfOriginalSeries Context triple: [Gekko, languageOfOriginalSeries, English]
-
A.
languageOfSeries
Indicates the language in which a series is primarily produced, presented, or officially released.
-
B.
originalLanguageOfFilmOrTVShow
chosen
Indicates the language in which a film or TV show was originally produced and released.
-
C.
primaryLanguageInSeries
Indicates that a given language is the main or predominant language used throughout a particular series.
-
D.
originalTitleLanguage
Indicates the language in which a work’s original title was written or expressed.
-
E.
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.
- 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_69f348e97fa48190aa06286962af6dee |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69ffaa7bc45c8190b907db8579244a7b |
completed | May 9, 2026, 9:43 p.m. |
| PD | Predicate disambiguation | batch_69ffa9f6c9a481908fbd4d18b311cbe2 |
completed | May 9, 2026, 9:41 p.m. |
Created at: April 30, 2026, 11:46 p.m.