Triple
T18789955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lola (1961 film) |
E459483
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Marc Michel |
—
|
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: Marc Michel | Statement: [Lola (1961 film), stars, Marc Michel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marc Michel Context triple: [Lola (1961 film), stars, Marc Michel]
-
A.
Marc Michel
chosen
Marc Michel was a French actor best known for his role in Jacques Demy’s classic musical film "The Umbrellas of Cherbourg."
-
B.
Marc Missonnier
Marc Missonnier is a French film producer known for his work on numerous acclaimed European films and collaborations with prominent directors.
-
C.
Sébastien Meyer
Sébastien Meyer is a French fashion designer best known as the co-founder and creative partner of the label Coperni alongside Arnaud Vaillant.
-
D.
Pierre Michel
Pierre Michel is a minor but pivotal character in Agatha Christie's detective novel "Murder on the Orient Express," serving as the train's conductor and playing a key role in the mystery surrounding the central crime.
-
E.
Christophe Beaucarne
Christophe Beaucarne is a Belgian cinematographer known for his visually refined work on European art-house and mainstream films.
- 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_69d8d396f54c8190ba49db31e8743842 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5978599008190aaceaff1b1e0a2c7 |
completed | April 20, 2026, 3:03 a.m. |
Created at: April 10, 2026, 11:53 a.m.