Triple
T14694713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matthias Schoenaerts |
E345123
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Disorder
"Disorder" is a 2015 French psychological thriller film starring Matthias Schoenaerts as a PTSD-afflicted ex-soldier working security for a wealthy family.
|
E1114075
|
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: Disorder | Statement: [Matthias Schoenaerts, notableWork, Disorder]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Disorder Context triple: [Matthias Schoenaerts, notableWork, Disorder]
-
A.
Chaos and Disorder
"Chaos and Disorder" is a 1996 rock-oriented studio album by Prince, known for its raw sound and contractual-obligation backstory with Warner Bros.
-
B.
Disturbance
"Disturbance" is a song featured on Davido's 2019 Afrobeats album *A Good Time*.
-
C.
Order and Disorder
"Order and Disorder" is a BBC science documentary series exploring the fundamental concepts of energy and information in physics and the universe.
-
D.
Chaos
Chaos is an action-comedy film produced by Steven Chasman, known for its high-energy sequences and crime-driven plot.
-
E.
Chaos
"Chaos" is a French film featuring Rachida Brakni in a critically acclaimed role that significantly raised her profile as an actress.
- 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: Disorder Triple: [Matthias Schoenaerts, notableWork, Disorder]
Generated description
"Disorder" is a 2015 French psychological thriller film starring Matthias Schoenaerts as a PTSD-afflicted ex-soldier working security for a wealthy family.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Disorder Target entity description: "Disorder" is a 2015 French psychological thriller film starring Matthias Schoenaerts as a PTSD-afflicted ex-soldier working security for a wealthy family.
-
A.
Chaos and Disorder
"Chaos and Disorder" is a 1996 rock-oriented studio album by Prince, known for its raw sound and contractual-obligation backstory with Warner Bros.
-
B.
Disturbance
"Disturbance" is a song featured on Davido's 2019 Afrobeats album *A Good Time*.
-
C.
Order and Disorder
"Order and Disorder" is a BBC science documentary series exploring the fundamental concepts of energy and information in physics and the universe.
-
D.
Chaos
Chaos is an action-comedy film produced by Steven Chasman, known for its high-energy sequences and crime-driven plot.
-
E.
Chaos
Chaos is a renowned photography book by Josef Koudelka that presents a powerful, wide-ranging collection of his panoramic black-and-white images capturing fragmented landscapes and human-altered environments.
- 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_69d822e34b348190ada4d1cdb6c7c226 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb586e7108190be644db9cf9a4d99 |
completed | April 14, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fde18e279c8190814f90e947734541 |
completed | May 8, 2026, 1:13 p.m. |
| NEDg | Description generation | batch_69fde259ea5881909d48031a183ca614 |
completed | May 8, 2026, 1:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fde2d0445881908b17fc24369ee90f |
completed | May 8, 2026, 1:19 p.m. |
Created at: April 10, 2026, 1:28 a.m.