Triple
T18140018
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Science of Sleep |
E434235
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object | Jean-Michel Bernard |
—
|
NE NERFINISHED |
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: Jean-Michel Bernard | Statement: [The Science of Sleep, musicBy, Jean-Michel Bernard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jean-Michel Bernard Context triple: [The Science of Sleep, musicBy, Jean-Michel Bernard]
-
A.
Jean-Michel Bernard
chosen
Jean-Michel Bernard is a French composer and pianist known for his film scores and collaborations with director Michel Gondry.
-
B.
Jean-Michel Raimond
Jean-Michel Raimond is a French physicist known for his work in quantum optics and cavity quantum electrodynamics.
-
C.
Jean-Michel Remy
Jean-Michel Remy is a French local politician serving as the mayor of the commune of Morlaincourt in northeastern France.
-
D.
Jean-Michel Damase
Jean-Michel Damase was a French composer and pianist known for his lyrical, neoclassical works, particularly for harp and chamber ensembles.
-
E.
Jean-Michel Defaye
Jean-Michel Defaye is a French composer and trombonist known for his film scores and brass music, particularly for trombone.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b90aac308190801e2c57d8c5bfe5 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4de0a59d08190be74c1ecc00a8f3a |
completed | April 19, 2026, 1:52 p.m. |
Created at: April 10, 2026, 10:29 a.m.