Triple
T11800927
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frank Thornton |
E280622
|
entity |
| Predicate | workedOn |
P3
|
FINISHED |
| Object |
The Big Job
The Big Job is a 1965 British comedy film about a gang of inept criminals who return years later to retrieve loot they buried before being sent to prison.
|
E947913
|
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: The Big Job | Statement: [Frank Thornton, workedOn, The Big Job]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Big Job Context triple: [Frank Thornton, workedOn, The Big Job]
-
A.
A Job to Live
A Job to Live is a work by British politician and author Shirley Williams that reflects her engagement with social and political issues.
-
B.
The Big Thing
The Big Thing is a public sculpture in Chicago, Illinois, known for its bold, contemporary design and prominent placement in the city’s urban landscape.
-
C.
The Job
The Job is a film featuring actor John Ortiz in a significant role.
-
D.
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.
-
E.
The Big Help Out
The Big Help Out is a UK-wide volunteering initiative launched to mark the coronation of King Charles III by encouraging people to support local charities and community groups.
- 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: The Big Job Triple: [Frank Thornton, workedOn, The Big Job]
Generated description
The Big Job is a 1965 British comedy film about a gang of inept criminals who return years later to retrieve loot they buried before being sent to prison.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The Big Job Target entity description: The Big Job is a 1965 British comedy film about a gang of inept criminals who return years later to retrieve loot they buried before being sent to prison.
-
A.
A Job to Live
A Job to Live is a work by British politician and author Shirley Williams that reflects her engagement with social and political issues.
-
B.
The Big Thing
The Big Thing is a public sculpture in Chicago, Illinois, known for its bold, contemporary design and prominent placement in the city’s urban landscape.
-
C.
The Job
The Job is a film featuring actor John Ortiz in a significant role.
-
D.
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.
-
E.
The Big Help Out
The Big Help Out is a UK-wide volunteering initiative launched to mark the coronation of King Charles III by encouraging people to support local charities and community groups.
- 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_69d6ab258b808190b1735835c841e3a4 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a5a4512c8190b7782e1dee053000 |
completed | April 10, 2026, 7:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f13129fa608190b080dc27f8bd7803 |
completed | April 28, 2026, 10:14 p.m. |
| NEDg | Description generation | batch_69f14e879aa88190a95f13e23dd346f4 |
completed | April 29, 2026, 12:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f156fa5cc48190a43c1d2e5df346fe |
completed | April 29, 2026, 12:55 a.m. |
Created at: April 8, 2026, 9:42 p.m.