Triple
T25228574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jean-Marc Natel |
E632159
|
entity |
| Predicate | coAuthorOfLyricsFor |
P33895
|
FINISHED |
| Object | song that became "I Dreamed a Dream" in English adaptation |
—
|
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: song that became "I Dreamed a Dream" in English adaptation | Statement: [Jean-Marc Natel, coAuthorOfLyricsFor, song that became "I Dreamed a Dream" in English adaptation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coAuthorOfLyricsFor Context triple: [Jean-Marc Natel, coAuthorOfLyricsFor, song that became "I Dreamed a Dream" in English adaptation]
-
A.
hasWrittenLyricsFor
Indicates that one entity is the lyricist who has created the words for a song or musical work performed or associated with another entity.
-
B.
lyricsWrittenWith
chosen
Indicates that the lyrics were written in collaboration with or using the assistance of another party or tool.
-
C.
hasWrittenSongsFor
Indicates that one entity has composed songs specifically intended to be performed, recorded, or used by another entity.
-
D.
wroteSongWith
Indicates that two or more entities collaborated in the creation or composition of a song.
-
E.
coAuthorOfLibrettoWith
Indicates that two or more individuals collaborated in writing the same libretto.
- 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_69e75a8e0f688190a7aebe9a4815e25b |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f47cc608bc8190b3ae866dafd25c4f |
completed | May 1, 2026, 10:13 a.m. |
| PD | Predicate disambiguation | batch_69f44d849e7c81909945438f40e35362 |
completed | May 1, 2026, 6:51 a.m. |
Created at: April 21, 2026, 1:04 p.m.