Triple
T25942773
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suzanne Verdal |
E653750
|
entity |
| Predicate | languageOfInspiredSong |
P26614
|
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: [Suzanne Verdal, languageOfInspiredSong, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfInspiredSong Context triple: [Suzanne Verdal, languageOfInspiredSong, English]
-
A.
lyricsLanguage
Indicates the language in which the lyrics of a song or musical work are written or performed.
-
B.
languageOfMusic
chosen
Indicates that a specified language is used in, associated with, or characteristic of a particular piece of music or musical work.
-
C.
inspiredSong
Indicates that one entity (such as an event, person, or work) served as the creative inspiration or motivating influence for the creation of a particular song.
-
D.
languageOfPoetry
Indicates that a specified language is the language in which a given piece of poetry is written or expressed.
-
E.
hasLyricalLanguage
Indicates that something (such as a text or expression) employs poetic, expressive, or highly figurative language.
- 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_69e7ab3fd2f881908837305e4ba98011 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f7626667f48190ad90867eb67ec582 |
completed | May 3, 2026, 2:57 p.m. |
| PD | Predicate disambiguation | batch_69f76175d6608190b60b268e20f49ed9 |
completed | May 3, 2026, 2:53 p.m. |
Created at: April 22, 2026, 8:41 a.m.