Triple
T9132503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fabrice Du Welz |
E219120
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Du Welz
Du Welz is the surname of Belgian film director and screenwriter Fabrice Du Welz, known for his intense and atmospheric genre films.
|
E780814
|
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: Du Welz | Statement: [Fabrice Du Welz, familyName, Du Welz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Du Welz Context triple: [Fabrice Du Welz, familyName, Du Welz]
-
A.
Von Koren
Von Koren is the zealous zoologist and moral absolutist who serves as the central antagonist in Anton Chekhov’s novella "The Duel."
-
B.
Dario Wuensch
Dario Wuensch is an individual known primarily as an alternate name or alias for the entity TLO.
-
C.
Jost Vacano
Jost Vacano is a German cinematographer renowned for his dynamic, technically innovative work on films such as "Das Boot," "RoboCop," and other major international productions.
-
D.
Zora Dirnbach
Zora Dirnbach was a Croatian journalist, writer, and Holocaust survivor known for her work in radio, literature, and public discourse on Jewish identity and history.
-
E.
Jan D'Alquen
Jan D'Alquen is a cinematographer best known for his work on the classic coming-of-age film "American Graffiti."
- 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: Du Welz Triple: [Fabrice Du Welz, familyName, Du Welz]
Generated description
Du Welz is the surname of Belgian film director and screenwriter Fabrice Du Welz, known for his intense and atmospheric genre films.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Du Welz Target entity description: Du Welz is the surname of Belgian film director and screenwriter Fabrice Du Welz, known for his intense and atmospheric genre films.
-
A.
Von Koren
Von Koren is the zealous zoologist and moral absolutist who serves as the central antagonist in Anton Chekhov’s novella "The Duel."
-
B.
Dario Wuensch
Dario Wuensch is an individual known primarily as an alternate name or alias for the entity TLO.
-
C.
Jost Vacano
Jost Vacano is a German cinematographer renowned for his dynamic, technically innovative work on films such as "Das Boot," "RoboCop," and other major international productions.
-
D.
Zora Dirnbach
Zora Dirnbach was a Croatian journalist, writer, and Holocaust survivor known for her work in radio, literature, and public discourse on Jewish identity and history.
-
E.
Jan D'Alquen
Jan D'Alquen is a cinematographer best known for his work on the classic coming-of-age film "American Graffiti."
- 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_69ca83debfc0819095800583e97ab10f |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca8db7d808190bd22b0e5a6f9c285 |
completed | April 1, 2026, 5:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d047e5ad5481909b7e62bee4d57492 |
completed | April 3, 2026, 11:06 p.m. |
| NEDg | Description generation | batch_69d048dbcfe08190afb6ee816e22ddfc |
completed | April 3, 2026, 11:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d049b159d08190ad426bb7f9bcafb1 |
completed | April 3, 2026, 11:13 p.m. |
Created at: March 30, 2026, 7:18 p.m.