Triple
T1522175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Take |
E32252
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object |
Mark Ellam
Mark Ellam is a cinematographer known for his work on the film "The Take."
|
E236748
|
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: Mark Ellam | Statement: [The Take, cinematographyBy, Mark Ellam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark Ellam Context triple: [The Take, cinematographyBy, Mark Ellam]
-
A.
Joe Ellis
Joe Ellis is an American sports executive best known as the longtime president and CEO of the Denver Broncos in the National Football League.
-
B.
Gary Melius
Gary Melius is an American real estate developer best known for owning and extensively restoring Oheka Castle, a historic Gold Coast mansion on Long Island.
-
C.
Thomas McElwee
Thomas McElwee was an Irish republican and Provisional IRA member from County Derry who died during the 1981 Maze Prison hunger strike.
-
D.
Ed Scott
Ed Scott is a technology entrepreneur best known as a co-founder of BEA Systems, a major enterprise software company later acquired by Oracle.
-
E.
Paul Bransom
Paul Bransom was an American illustrator and wildlife artist best known for his detailed animal drawings in early 20th-century books and magazines.
- 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: Mark Ellam Triple: [The Take, cinematographyBy, Mark Ellam]
Generated description
Mark Ellam is a cinematographer known for his work on the film "The Take."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mark Ellam Target entity description: Mark Ellam is a cinematographer known for his work on the film "The Take."
-
A.
Joe Ellis
Joe Ellis is an American sports executive best known as the longtime president and CEO of the Denver Broncos in the National Football League.
-
B.
Gary Melius
Gary Melius is an American real estate developer best known for owning and extensively restoring Oheka Castle, a historic Gold Coast mansion on Long Island.
-
C.
Thomas McElwee
Thomas McElwee was an Irish republican and Provisional IRA member from County Derry who died during the 1981 Maze Prison hunger strike.
-
D.
Ed Scott
Ed Scott is a technology entrepreneur best known as a co-founder of BEA Systems, a major enterprise software company later acquired by Oracle.
-
E.
Paul Bransom
Paul Bransom was an American illustrator and wildlife artist best known for his detailed animal drawings in early 20th-century books and magazines.
- 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_69a885e9b0ac819093a9806ad0efc82c |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a907fe8b0c8190a765afd3a10ee5e0 |
completed | March 5, 2026, 4:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae5162c078819085c7fbc11f679d56 |
completed | March 9, 2026, 4:49 a.m. |
| NEDg | Description generation | batch_69ae51c867e88190851aba8c26f9204a |
completed | March 9, 2026, 4:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae52f34598819088a22632064afa30 |
completed | March 9, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:26 p.m.