Triple
T18378435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Was Monty's Double |
E446376
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Ben Arbeid
Ben Arbeid was a film producer known for his work on mid-20th-century British cinema, including the war drama "I Was Monty's Double."
|
E1321298
|
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: Ben Arbeid | Statement: [I Was Monty's Double, producer, Ben Arbeid]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ben Arbeid Context triple: [I Was Monty's Double, producer, Ben Arbeid]
-
A.
Jasaan
Jasaan is a coastal municipality in Misamis Oriental, Philippines, known for its beaches, marine resources, and proximity to the urban center of Cagayan de Oro.
-
B.
Mittenaar
Mittenaar is a small municipality in the Lahn-Dill district of the German state of Hesse.
-
C.
Arende
Arende is a South African television drama series set during the Anglo-Boer War, known for its portrayal of the conflict between Boer prisoners and British forces.
-
D.
Bonte
Bonte is a German surname most notably borne by Friedrich Bonte, a Kriegsmarine officer during World War II.
-
E.
Beerzelberg
Beerzelberg is a modest hill in Belgium known as the highest natural point in Antwerp Province.
- 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: Ben Arbeid Triple: [I Was Monty's Double, producer, Ben Arbeid]
Generated description
Ben Arbeid was a film producer known for his work on mid-20th-century British cinema, including the war drama "I Was Monty's Double."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ben Arbeid Target entity description: Ben Arbeid was a film producer known for his work on mid-20th-century British cinema, including the war drama "I Was Monty's Double."
-
A.
Jasaan
Jasaan is a coastal municipality in Misamis Oriental, Philippines, known for its beaches, marine resources, and proximity to the urban center of Cagayan de Oro.
-
B.
Mittenaar
Mittenaar is a small municipality in the Lahn-Dill district of the German state of Hesse.
-
C.
Arende
Arende is a South African television drama series set during the Anglo-Boer War, known for its portrayal of the conflict between Boer prisoners and British forces.
-
D.
Bonte
Bonte is a German surname most notably borne by Friedrich Bonte, a Kriegsmarine officer during World War II.
-
E.
Beerzelberg
Beerzelberg is a modest hill in Belgium known as the highest natural point in Antwerp Province.
- 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_69d8b9f370b88190b1e5081c2c238e7f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e5179919c881908d55ea24f93c5827 |
completed | April 19, 2026, 5:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03d77ea9f481909d252120346498ab |
completed | May 13, 2026, 1:44 a.m. |
| NEDg | Description generation | batch_6a03d83fe9a08190b18b9f61ee606372 |
completed | May 13, 2026, 1:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03d915215c819090023094f1fc47f1 |
completed | May 13, 2026, 1:51 a.m. |
Created at: April 10, 2026, 10:45 a.m.