Triple
T10130851
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jean-Michel |
E226333
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Jean-Michel Damase
Jean-Michel Damase was a French composer and pianist known for his lyrical, neoclassical works, particularly for harp and chamber ensembles.
|
E842768
|
NE FINISHED |
How this triple was built (4 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 Damase | Statement: [Jean-Michel, hasNotableBearer, Jean-Michel Damase]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jean-Michel Damase Context triple: [Jean-Michel, hasNotableBearer, Jean-Michel Damase]
-
A.
Jean-Michel Defaye
Jean-Michel Defaye is a French composer and trombonist known for his film scores and brass music, particularly for trombone.
-
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 Bernard
Jean-Michel Bernard is a French composer and pianist known for his film scores and collaborations with director Michel Gondry.
-
D.
Jean-Michel Remy
Jean-Michel Remy is a French local politician serving as the mayor of the commune of Morlaincourt in northeastern France.
-
E.
Patrice Dumas
Patrice Dumas is a politically active Black student leader in the film "BlacKkKlansman," known for her passionate advocacy against racism and police brutality.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Jean-Michel Damase Triple: [Jean-Michel, hasNotableBearer, Jean-Michel Damase]
Generated description
Jean-Michel Damase was a French composer and pianist known for his lyrical, neoclassical works, particularly for harp and chamber ensembles.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jean-Michel Damase Target entity description: Jean-Michel Damase was a French composer and pianist known for his lyrical, neoclassical works, particularly for harp and chamber ensembles.
-
A.
Jean-Michel Defaye
Jean-Michel Defaye is a French composer and trombonist known for his film scores and brass music, particularly for trombone.
-
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 Bernard
Jean-Michel Bernard is a French composer and pianist known for his film scores and collaborations with director Michel Gondry.
-
D.
Jean-Michel Remy
Jean-Michel Remy is a French local politician serving as the mayor of the commune of Morlaincourt in northeastern France.
-
E.
Patrice Dumas
Patrice Dumas is a politically active Black student leader in the film "BlacKkKlansman," known for her passionate advocacy against racism and police brutality.
- F. None of above. chosen
Provenance (5 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_69ca843057b48190a86730167f5d6b98 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cdd33438988190be45878f98695816 |
completed | April 2, 2026, 2:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2cc7c50b08190a04aa2f58a6c300a |
completed | April 5, 2026, 8:56 p.m. |
| NEDg | Description generation | batch_69d2cecd67448190a28a90148ad83c20 |
completed | April 5, 2026, 9:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d2cf4d259881909f44bf1ec39524de |
completed | April 5, 2026, 9:08 p.m. |
Created at: March 30, 2026, 9:05 p.m.