Triple
T14839766
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Darrell Roodt |
E348928
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Jobman
Jobman is a South African film directed by Darrell Roodt, known for its socially conscious storytelling within the country’s cinematic landscape.
|
E1121870
|
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: Jobman | Statement: [Darrell Roodt, notableWork, Jobman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jobman Context triple: [Darrell Roodt, notableWork, Jobman]
-
A.
Joe Worker
"Joe Worker" is a politically charged song from Marc Blitzstein's 1937 pro-labor musical *The Cradle Will Rock*, symbolizing the struggles of the American working class.
-
B.
The Job
The Job is a television series produced by DreamWorks Television, best known as a darkly comedic workplace drama centered on the personal and professional struggles of its main characters.
-
C.
The Job
The Job is a film featuring actor John Ortiz in a significant role.
-
D.
Millworker
"Millworker" is a reflective folk song by James Taylor that poignantly portrays the hardships and quiet resilience of a female factory worker.
-
E.
The Carpenter
The Carpenter is a painting by Dutch Golden Age artist Abraham Bloemaert, exemplifying his detailed and dramatic religious and genre scenes.
- 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: Jobman Triple: [Darrell Roodt, notableWork, Jobman]
Generated description
Jobman is a South African film directed by Darrell Roodt, known for its socially conscious storytelling within the country’s cinematic landscape.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jobman Target entity description: Jobman is a South African film directed by Darrell Roodt, known for its socially conscious storytelling within the country’s cinematic landscape.
-
A.
Joe Worker
"Joe Worker" is a politically charged song from Marc Blitzstein's 1937 pro-labor musical *The Cradle Will Rock*, symbolizing the struggles of the American working class.
-
B.
The Job
The Job is a television series produced by DreamWorks Television, best known as a darkly comedic workplace drama centered on the personal and professional struggles of its main characters.
-
C.
The Job
The Job is a film featuring actor John Ortiz in a significant role.
-
D.
Millworker
"Millworker" is a reflective folk song by James Taylor that poignantly portrays the hardships and quiet resilience of a female factory worker.
-
E.
The Carpenter
The Carpenter is a painting by Dutch Golden Age artist Abraham Bloemaert, exemplifying his detailed and dramatic religious and genre scenes.
- 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_69d822ec69008190a9232caa68836872 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded28e40f08190b309d8ac6404d2fc |
completed | April 14, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe38a9eb9481908ca509f484007cf6 |
completed | May 8, 2026, 7:25 p.m. |
| NEDg | Description generation | batch_69fe3d0eca948190b107bc593b6e5b72 |
completed | May 8, 2026, 7:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe3d94785881908911a7c6f1546d45 |
completed | May 8, 2026, 7:46 p.m. |
Created at: April 10, 2026, 1:53 a.m.