Triple
T33192944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gréco chante Brel |
E849657
|
entity |
| Predicate | songwriterNationalityFeatured |
P176165
|
FINISHED |
| Object | Belgian |
—
|
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: Belgian | Statement: [Gréco chante Brel, songwriterNationalityFeatured, Belgian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: songwriterNationalityFeatured Context triple: [Gréco chante Brel, songwriterNationalityFeatured, Belgian]
-
A.
songWrittenBy
Indicates that a particular song was created or composed by a specific person or group.
-
B.
writerOfMusicAndLyrics
Indicates that a person is the creator of both the musical composition and the song lyrics for a work.
-
C.
notableSongwriterOn
Indicates that one entity is recognized as a notable songwriter contributing to or associated with another entity (such as a musical work or recording).
-
D.
associatedComposerNationality
Indicates that there is a relationship between a composer and a specific nationality with which that composer is identified or associated.
-
E.
featuredArtistNationality
Indicates the nationality associated with an artist who is prominently featured in a work or event.
- 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_69f3495e0f108190a6a7006f79f9c2c3 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6dd3cc0648190a275812d6711275a |
completed | May 3, 2026, 5:29 a.m. |
| PD | Predicate disambiguation | batch_69f6d82eaee081908f06a71546315aea |
completed | May 3, 2026, 5:07 a.m. |
| PDg | Predicate description generation | batch_69f6dd3b335481909e24d4eb5b0269f9 |
completed | May 3, 2026, 5:29 a.m. |
Created at: May 1, 2026, 1:29 a.m.