Triple
T16004603
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valerian |
E388183
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object | Pierre Christin |
E1206044
|
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: Pierre Christin | Statement: [Valerian, creator, Pierre Christin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pierre Christin Context triple: [Valerian, creator, Pierre Christin]
-
A.
Pierre Christin
chosen
Pierre Christin is a French comics writer best known for co-creating the influential science fiction series "Valérian and Laureline."
-
B.
Christophe Pélissier
Christophe Pélissier is a French football coach known for guiding modest clubs to promotion in the French league system.
-
C.
Christophe Le Friant
Christophe Le Friant is a French DJ, record producer, and remixer best known under his stage name Bob Sinclar, a prominent figure in the international house music scene.
-
D.
Christophe Beaucarne
Christophe Beaucarne is a Belgian cinematographer known for his visually refined work on European art-house and mainstream films.
-
E.
Christophe Malavoy
Christophe Malavoy is a French actor and director known for his work in film, television, and theater since the late 20th century.
- 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_69d86dabcb7c8190b6a39d6831d2fa1b |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e157fe776c81908f7bf29ef064a6ba |
completed | April 16, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a002d982788819082fcdd8ab5c80513 |
completed | May 10, 2026, 7:02 a.m. |
Created at: April 10, 2026, 4:55 a.m.