Triple
T6634542
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Human |
E150413
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object | Armand Amar |
E598925
|
NE 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: Armand Amar | Statement: [Human, musicBy, Armand Amar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Armand Amar Context triple: [Human, musicBy, Armand Amar]
-
A.
Armand Amar
chosen
Armand Amar is a French composer known for his evocative film scores and world music-influenced compositions.
-
B.
Armand Duval
Armand Duval is the romantic male lead of Alexandre Dumas fils’ novel and play "La Dame aux Camélias," widely known through numerous stage and film adaptations.
-
C.
Armand
Armand is the given name of Cardinal Richelieu, the powerful 17th-century French statesman and chief minister to King Louis XIII.
-
D.
Armand
Armand is the given first name of the 19th-century French physicist Hippolyte Fizeau, known for his pioneering measurements of the speed of light.
-
E.
Armand
Armand is the given first name of the French poet and Nobel laureate Sully Prudhomme.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c687f0ceb08190bf40807bfc605fa5 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6afcc1c9c819087fcde19a5d49fd2 |
completed | March 27, 2026, 4:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6e4518f4881909c0a56df993d2af6 |
completed | March 27, 2026, 8:10 p.m. |
Created at: March 27, 2026, 1:59 p.m.