Triple
T13665782
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 47 Meters Down: Uncaged |
E327115
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Mark Lane
Mark Lane is a film producer known for his work on genre movies, including the shark thriller "47 Meters Down: Uncaged."
|
E1053525
|
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 Lane | Statement: [47 Meters Down: Uncaged, producer, Mark Lane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark Lane Context triple: [47 Meters Down: Uncaged, producer, Mark Lane]
-
A.
Mark Lane
Mark Lane is a street in the City of London, historically associated with the grain trade and located near Fenchurch Street and the Tower of London.
-
B.
Martin Lane
Martin Lane is a central father figure and newspaper editor on the 1960s American sitcom "The Patty Duke Show."
-
C.
Richard Lane
Richard Lane was a co-founder of the British publishing house Penguin Books, which became famous for pioneering affordable, high-quality paperback editions.
-
D.
Kent Lane
Kent Lane is the son of classic Hollywood actress and film noir star Rhonda Fleming.
-
E.
Patrick Lane
Patrick Lane was a Canadian poet and novelist renowned for his powerful, often dark explorations of nature, memory, and personal struggle.
- 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 Lane Triple: [47 Meters Down: Uncaged, producer, Mark Lane]
Generated description
Mark Lane is a film producer known for his work on genre movies, including the shark thriller "47 Meters Down: Uncaged."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mark Lane Target entity description: Mark Lane is a film producer known for his work on genre movies, including the shark thriller "47 Meters Down: Uncaged."
-
A.
Mark Lane
Mark Lane is a street in the City of London, historically associated with the grain trade and located near Fenchurch Street and the Tower of London.
-
B.
Martin Lane
Martin Lane is a central father figure and newspaper editor on the 1960s American sitcom "The Patty Duke Show."
-
C.
Richard Lane
Richard Lane was a co-founder of the British publishing house Penguin Books, which became famous for pioneering affordable, high-quality paperback editions.
-
D.
Kent Lane
Kent Lane is the son of classic Hollywood actress and film noir star Rhonda Fleming.
-
E.
Patrick Lane
Patrick Lane was a Canadian poet and novelist renowned for his powerful, often dark explorations of nature, memory, and personal struggle.
- 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_69d8076d8270819092afc2f0e9c359a8 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc623fcc88190bbad97541c040b7a |
completed | April 12, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f78b0ac4c88190ab6f753c6847eb6e |
completed | May 3, 2026, 5:51 p.m. |
| NEDg | Description generation | batch_69f78cdf1a74819087b0370060ddfa99 |
completed | May 3, 2026, 5:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f78e00007c81909007a751fd4625c2 |
completed | May 3, 2026, 6:03 p.m. |
Created at: April 9, 2026, 9:52 p.m.