Triple
T20820445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | House of M |
E512559
|
entity |
| Predicate | artist |
P184
|
FINISHED |
| Object | Olivier Coipel |
—
|
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: Olivier Coipel | Statement: [House of M, artist, Olivier Coipel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Olivier Coipel Context triple: [House of M, artist, Olivier Coipel]
-
A.
Olivier Coipel
chosen
Olivier Coipel is a French comic book artist best known for his dynamic work at Marvel Comics on titles such as Thor, House of M, and major crossover events.
-
B.
Olivier Polge
Olivier Polge is a renowned French perfumer, known as the in-house nose for Chanel and creator of numerous acclaimed fragrances.
-
C.
Raoul Meyer
Raoul Meyer is a French businessman best known as the former husband of socialite and reality TV personality Kim Kardashian.
-
D.
Raoul Meyer
Raoul Meyer is a Swiss race car driver and businessman best known for his high-profile marriage to actress and model Brigitte Nielsen.
-
E.
Romain Winding
Romain Winding was a French cinematographer known for his visually rich and atmospheric work on films such as "Farewell, My Queen."
- 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_69e0b4ce39108190a6e8e5df4f1c8dc5 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2f6a65481909a0df78616e185e4 |
completed | April 21, 2026, 12:21 a.m. |
Created at: April 16, 2026, 12:41 p.m.