Triple
T10608116
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lucy |
E275928
|
entity |
| Predicate | director |
P255
|
FINISHED |
| Object | Luc Besson |
E275928
|
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: Luc Besson | Statement: [Lucy, director, Luc Besson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luc Besson Context triple: [Lucy, director, Luc Besson]
-
A.
Luc Besson
chosen
Luc Besson is a French film director, screenwriter, and producer known for visually stylish, action-driven movies such as "Léon: The Professional," "The Fifth Element," and "Lucy."
-
B.
Fabrice Du Welz
Fabrice Du Welz is a Belgian film director and screenwriter known for his dark, atmospheric genre films such as "Calvaire," "Vinyan," and "Alleluia."
-
C.
Claude Lelouch
Claude Lelouch is a French film director, screenwriter, and producer best known for his romantic drama "A Man and a Woman," which won international acclaim and multiple major awards.
-
D.
Bertrand Blier
Bertrand Blier is a French film director and screenwriter known for his darkly comic, provocative films such as "Get Out Your Handkerchiefs" and "Going Places."
-
E.
Paul Legentilhomme
Paul Legentilhomme was a French general and prominent Free French commander during World War II, noted for his leadership in campaigns in East Africa and the Middle East.
- 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_69d6aaf948d88190806cc3a8c47a3fb2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d6df4c38c881908f69bb757b8e03f5 |
completed | April 8, 2026, 11:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d98840243081908de4f6905bbfa4a0 |
completed | April 10, 2026, 11:31 p.m. |
Created at: April 8, 2026, 7:32 p.m.