Triple
T13216945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Big Blue |
E314640
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Sylvie Landra |
E854482
|
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: Sylvie Landra | Statement: [The Big Blue, editedBy, Sylvie Landra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sylvie Landra Context triple: [The Big Blue, editedBy, Sylvie Landra]
-
A.
Sylvie Landra
chosen
Sylvie Landra is a French film editor known for her work on major films such as Luc Besson’s science fiction blockbuster "The Fifth Element."
-
B.
Emmanuelle Vaugier
Emmanuelle Vaugier is a Canadian actress and model known for her roles in film and television, including appearances in projects like "Two and a Half Men," "Smallville," and various genre films.
-
C.
Julie Le Brun
Julie Le Brun was the daughter and frequent portrait subject of the renowned French painter Élisabeth Vigée Le Brun, often depicted in her mother's celebrated works.
-
D.
Doriane Bécue
Doriane Bécue is a French politician who serves as the mayor of the city of Tourcoing in northern France.
-
E.
Joëlle Milquet
Joëlle Milquet is a Belgian politician known for leading the centrist humanist party cdH and serving in several ministerial roles in the Belgian government.
- 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_69d806aee7308190b70a237ba2a6e3e1 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98cf28c9c819080d7b42d20f579d1 |
completed | April 10, 2026, 11:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6ff1ebf648190a27d11b3dc494446 |
completed | May 3, 2026, 7:54 a.m. |
Created at: April 9, 2026, 9:18 p.m.