Triple
T32698081
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TNT |
E836068
|
entity |
| Predicate | laterLanguageOfLyrics |
P200738
|
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: [TNT, laterLanguageOfLyrics, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laterLanguageOfLyrics Context triple: [TNT, laterLanguageOfLyrics, English]
-
A.
lyricsLanguage
Indicates the language in which the lyrics of a song or musical work are written or performed.
-
B.
languageOfMusic
Indicates that a specified language is used in, associated with, or characteristic of a particular piece of music or musical work.
-
C.
laterLanguageDominant
Indicates that one language becomes the dominant or primary language for an entity at a later point in time, after another language previously held that role.
-
D.
hasLyricalLanguage
Indicates that something (such as a text or expression) employs poetic, expressive, or highly figurative language.
-
E.
hasArtistLanguage
Indicates that an artist is associated with, or primarily uses, a particular language in their work or identity.
- F. None of above. chosen
Provenance (4 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_69f3493323288190a4e88251035fe96e |
completed | April 30, 2026, 12:21 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. |
| PDg | Predicate description generation | batch_69ffaa7af814819095ed51ea1989ff14 |
completed | May 9, 2026, 9:43 p.m. |
Created at: May 1, 2026, 1:10 a.m.