Triple
T22894756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Of Gods and Men |
E568142
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object | Armand Amar |
—
|
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: Armand Amar | Statement: [Of Gods and Men, musicBy, Armand Amar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Armand Amar Context triple: [Of Gods and Men, 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 Heins
Armand Heins was a Belgian painter and illustrator associated with the avant-garde art group Les XX in the late 19th century.
-
C.
Armand Pierre Fernandez
Armand Pierre Fernandez, better known as Arman, was a French-born American artist renowned for his pioneering work in Nouveau Réalisme and his sculptural accumulations of everyday objects.
-
D.
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.
-
E.
Armand Psenny
Armand Psenny is a film editor known for his work on French cinema, including editing the historical drama "Que la fête commence."
- 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_69e2458c23ec81908fa2570692c6614f |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f17fc83d688190a8ab5ea0aad1e7ec |
completed | April 29, 2026, 3:49 a.m. |
Created at: April 17, 2026, 3:40 p.m.