Triple
T9846546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Les Cousins |
E239354
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object | Paul Misraki |
E747585
|
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: Paul Misraki | Statement: [Les Cousins, musicBy, Paul Misraki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paul Misraki Context triple: [Les Cousins, musicBy, Paul Misraki]
-
A.
Paul Misraki
chosen
Paul Misraki was a French composer best known for his prolific film scores and popular songs in mid-20th-century European cinema.
-
B.
Arthur Sadoun
Arthur Sadoun is a French advertising executive and the chief executive of Publicis Groupe, one of the world’s largest communications and marketing services companies.
-
C.
Adnan Kassar
Adnan Kassar is a prominent Lebanese businessman and banker known for his leadership in international commerce and significant contributions to economic development and education in Lebanon.
-
D.
Joe Mimran
Joe Mimran is a Canadian fashion designer and entrepreneur best known for creating influential lifestyle brands such as Club Monaco and Joe Fresh.
-
E.
Henry Barakat
Henry Barakat was a prominent Egyptian film director and one of the leading figures of classical Egyptian cinema.
- 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_69ca84e3f0c48190ada72a65ebd50efd |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb36156308190b26892702f3b41e0 |
completed | April 2, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1d5e1b67c8190ad7b57ea423511d8 |
completed | April 5, 2026, 3:24 a.m. |
Created at: March 30, 2026, 8:34 p.m.