Triple
T33192949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gréco chante Brel |
E849657
|
entity |
| Predicate | hasPrimaryLyricLanguage |
P11404
|
FINISHED |
| Object | French |
—
|
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: French | Statement: [Gréco chante Brel, hasPrimaryLyricLanguage, French]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPrimaryLyricLanguage Context triple: [Gréco chante Brel, hasPrimaryLyricLanguage, French]
-
A.
hasLyricalLanguage
Indicates that something (such as a text or expression) employs poetic, expressive, or highly figurative language.
-
B.
hasPrimaryLanguage1
Indicates that an entity’s main or most commonly used language is the specified language.
-
C.
hasBilingualLyrics
Indicates that the lyrics of a work are written or performed in two different languages.
-
D.
lyricsLanguage
chosen
Indicates the language in which the lyrics of a song or musical work are written or performed.
-
E.
hasLyric
Indicates that one entity (typically a musical work or track) contains or is associated with the lyrics provided by another entity.
- 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_69f3495e0f108190a6a7006f79f9c2c3 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a017a360f088190acd5933aa353e763 |
completed | May 11, 2026, 6:41 a.m. |
| PD | Predicate disambiguation | batch_6a0179d3f78c8190b1d2e8829619fa54 |
completed | May 11, 2026, 6:40 a.m. |
Created at: May 1, 2026, 1:29 a.m.