Triple
T3066089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Dig |
E62106
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object |
Mike Eley
Mike Eley is a British cinematographer known for his work on acclaimed films and television dramas.
|
E355720
|
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: Mike Eley | Statement: [The Dig, cinematographyBy, Mike Eley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mike Eley Context triple: [The Dig, cinematographyBy, Mike Eley]
-
A.
Darren Eales
Darren Eales is a British football executive known for serving as president of Major League Soccer club Atlanta United FC, where he helped build the expansion team into a successful franchise.
-
B.
Stan Meads
Stan Meads was a New Zealand rugby union player and All Black lock, known both for his own strong international career and as the brother of legendary All Black Colin Meads.
-
C.
Christopher Le Brun
Christopher Le Brun is a British painter, sculptor, and printmaker who served as President of the Royal Academy of Arts in London.
-
D.
Eric McLeod
Eric McLeod is a film producer known for his work on major Hollywood action and genre movies, including the monster crossover blockbuster "Godzilla vs. Kong."
-
E.
Adam Gough
Adam Gough is a British film editor known for his work on acclaimed films such as "Da 5 Bloods" and "Roma."
- 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: Mike Eley Triple: [The Dig, cinematographyBy, Mike Eley]
Generated description
Mike Eley is a British cinematographer known for his work on acclaimed films and television dramas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mike Eley Target entity description: Mike Eley is a British cinematographer known for his work on acclaimed films and television dramas.
-
A.
Darren Eales
Darren Eales is a British football executive known for serving as president of Major League Soccer club Atlanta United FC, where he helped build the expansion team into a successful franchise.
-
B.
Stan Meads
Stan Meads was a New Zealand rugby union player and All Black lock, known both for his own strong international career and as the brother of legendary All Black Colin Meads.
-
C.
Christopher Le Brun
Christopher Le Brun is a British painter, sculptor, and printmaker who served as President of the Royal Academy of Arts in London.
-
D.
Eric McLeod
Eric McLeod is a film producer known for his work on major Hollywood action and genre movies, including the monster crossover blockbuster "Godzilla vs. Kong."
-
E.
Adam Gough
Adam Gough is a British film editor known for his work on acclaimed films such as "Da 5 Bloods" and "Roma."
- 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_69ad85793e5c8190a358049bc4a98d8c |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada0fd87308190918e7b616f033faa |
completed | March 8, 2026, 4:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b34bab35a0819081b6c568606b4c37 |
completed | March 12, 2026, 11:26 p.m. |
| NEDg | Description generation | batch_69b34ff5a3608190bf8f33ae25b3d1ba |
completed | March 12, 2026, 11:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b350b528e4819083497ecfaec5c80d |
completed | March 12, 2026, 11:48 p.m. |
Created at: March 8, 2026, 3:02 p.m.