Triple
T13665786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 47 Meters Down: Uncaged |
E327115
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object |
Martin Brinkler
Martin Brinkler is a film editor known for his work on the shark thriller "47 Meters Down: Uncaged."
|
E1114714
|
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: Martin Brinkler | Statement: [47 Meters Down: Uncaged, editedBy, Martin Brinkler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Martin Brinkler Context triple: [47 Meters Down: Uncaged, editedBy, Martin Brinkler]
-
A.
Michael Brickler
Michael Brickler is an entrepreneur best known as a co-founder of the architecture and design firm Morphosis.
-
B.
Len Blum
Len Blum is a Canadian screenwriter known for his work on numerous comedy films, including the 2006 reboot of The Pink Panther.
-
C.
Garth Drabinsky
Garth Drabinsky is a Canadian theatrical producer and former film executive best known for staging large-scale Broadway and international productions, including the musical "Ragtime."
-
D.
Daniel Blumberg
Daniel Blumberg is a British musician and composer known for his experimental work in indie rock and film scores.
-
E.
Eric Brenner
Eric Brenner is a film producer known for his work on independent movies, including the action drama "Mercury Plains."
- 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: Martin Brinkler Triple: [47 Meters Down: Uncaged, editedBy, Martin Brinkler]
Generated description
Martin Brinkler is a film editor known for his work on the shark thriller "47 Meters Down: Uncaged."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Martin Brinkler Target entity description: Martin Brinkler is a film editor known for his work on the shark thriller "47 Meters Down: Uncaged."
-
A.
Michael Brickler
Michael Brickler is an entrepreneur best known as a co-founder of the architecture and design firm Morphosis.
-
B.
Len Blum
Len Blum is a Canadian screenwriter known for his work on numerous comedy films, including the 2006 reboot of The Pink Panther.
-
C.
Garth Drabinsky
Garth Drabinsky is a Canadian theatrical producer and former film executive best known for staging large-scale Broadway and international productions, including the musical "Ragtime."
-
D.
Daniel Blumberg
Daniel Blumberg is a British musician and composer known for his experimental work in indie rock and film scores.
-
E.
Eric Brenner
Eric Brenner is a film producer known for his work on independent movies, including the action drama "Mercury Plains."
- 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_69fdf06a3e208190a24e6cd9cb97e99c |
completed | May 8, 2026, 2:17 p.m. |
| NEDg | Description generation | batch_69fdf15993e88190af2915db1584dfa1 |
completed | May 8, 2026, 2:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdf1c407208190a0b544d98551319f |
completed | May 8, 2026, 2:23 p.m. |
Created at: April 9, 2026, 9:52 p.m.