Triple
T15389339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brimstone |
E367997
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object |
Job ter Burg
Job ter Burg is a Dutch film editor known for his work on numerous acclaimed international films.
|
E1154822
|
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: Job ter Burg | Statement: [Brimstone, editedBy, Job ter Burg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Job ter Burg Context triple: [Brimstone, editedBy, Job ter Burg]
-
A.
Woerdense Verlaat
Woerdense Verlaat is a small village in the Dutch province of South Holland, known for its rural character and location near waterways and polders.
-
B.
De Dokwerker
De Dokwerker is a bronze statue in Amsterdam commemorating the February Strike of 1941 and symbolizing resistance against Nazi persecution.
-
C.
Jeroentje
Jeroentje is a Dutch diminutive form of the given name Jeroen, typically used as an affectionate or informal nickname.
-
D.
Land van Cuijk
Land van Cuijk is a municipality in the Dutch province of North Brabant, formed in 2022 through the merger of several former municipalities in the northeastern part of the province.
-
E.
Mensje van Keulen
Mensje van Keulen is a Dutch writer known for her novels and short stories, often blending realism with the surreal and earning critical acclaim in contemporary Dutch literature.
- 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: Job ter Burg Triple: [Brimstone, editedBy, Job ter Burg]
Generated description
Job ter Burg is a Dutch film editor known for his work on numerous acclaimed international films.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Job ter Burg Target entity description: Job ter Burg is a Dutch film editor known for his work on numerous acclaimed international films.
-
A.
Woerdense Verlaat
Woerdense Verlaat is a small village in the Dutch province of South Holland, known for its rural character and location near waterways and polders.
-
B.
De Dokwerker
De Dokwerker is a bronze statue in Amsterdam commemorating the February Strike of 1941 and symbolizing resistance against Nazi persecution.
-
C.
Jeroentje
Jeroentje is a Dutch diminutive form of the given name Jeroen, typically used as an affectionate or informal nickname.
-
D.
Land van Cuijk
Land van Cuijk is a municipality in the Dutch province of North Brabant, formed in 2022 through the merger of several former municipalities in the northeastern part of the province.
-
E.
Mensje van Keulen
Mensje van Keulen is a Dutch writer known for her novels and short stories, often blending realism with the surreal and earning critical acclaim in contemporary Dutch literature.
- 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_69d85a1551a08190ba2caea7cd51c639 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e761b688190893a81246b735b76 |
completed | April 16, 2026, 1:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff134e37d881909f373b90a99fc067 |
completed | May 9, 2026, 10:58 a.m. |
| NEDg | Description generation | batch_69ff141b025c8190ac5ac9400ff36133 |
completed | May 9, 2026, 11:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff1519100c819083ee0342bf25d89e |
completed | May 9, 2026, 11:06 a.m. |
Created at: April 10, 2026, 3:19 a.m.