Triple
T12728234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lars Eidinger |
E304161
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Matthias & Maxime
Matthias & Maxime is a 2019 Canadian drama film written and directed by Xavier Dolan that explores friendship, identity, and repressed desire between two longtime friends.
|
E1000526
|
NE FINISHED |
How this triple was built (4 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: Matthias & Maxime | Statement: [Lars Eidinger, notableWork, Matthias & Maxime]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matthias & Maxime Context triple: [Lars Eidinger, notableWork, Matthias & Maxime]
-
A.
Max et Jérémie
Max et Jérémie is a French crime drama film featuring Jean-Pierre Marielle in a prominent role.
-
B.
Matthias
Matthias is the disciple chosen to join the Twelve Apostles after the betrayal and death of Judas Iscariot.
-
C.
Maxime
Maxime is a French given name commonly used for males, derived from the Latin name Maximus meaning "greatest."
-
D.
L'Amoreaux
L'Amoreaux is a residential neighbourhood in the northeast part of Toronto, Ontario, known for its diverse community, parks, and suburban character.
-
E.
L’Amoreaux
L’Amoreaux is a residential neighbourhood in the Scarborough district of Toronto, Ontario, known for its diverse community, parks, and suburban character.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Matthias & Maxime Triple: [Lars Eidinger, notableWork, Matthias & Maxime]
Generated description
Matthias & Maxime is a 2019 Canadian drama film written and directed by Xavier Dolan that explores friendship, identity, and repressed desire between two longtime friends.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Matthias & Maxime Target entity description: Matthias & Maxime is a 2019 Canadian drama film written and directed by Xavier Dolan that explores friendship, identity, and repressed desire between two longtime friends.
-
A.
Max et Jérémie
Max et Jérémie is a French crime drama film featuring Jean-Pierre Marielle in a prominent role.
-
B.
Matthias
Matthias is the disciple chosen to join the Twelve Apostles after the betrayal and death of Judas Iscariot.
-
C.
Maxime
Maxime is a French given name commonly used for males, derived from the Latin name Maximus meaning "greatest."
-
D.
L'Amoreaux
L'Amoreaux is a residential neighbourhood in the northeast part of Toronto, Ontario, known for its diverse community, parks, and suburban character.
-
E.
L’Amoreaux
L’Amoreaux is a residential neighbourhood in the Scarborough district of Toronto, Ontario, known for its diverse community, parks, and suburban character.
- F. None of above. chosen
Provenance (5 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_69d7bdf1426c8190a4402e1c4cdec33a |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d964172490819080cd022ff8290b6e |
completed | April 10, 2026, 8:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f67c884bd08190bf0022e8303a4987 |
completed | May 2, 2026, 10:36 p.m. |
| NEDg | Description generation | batch_69f67de172088190b055ace0fdcfd1fd |
completed | May 2, 2026, 10:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f67ececce8819080335e67bd747057 |
completed | May 2, 2026, 10:46 p.m. |
Created at: April 9, 2026, 5:25 p.m.