Triple
T15358267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cop Out |
E367219
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object |
Mark Cullen
Mark Cullen is an American screenwriter and producer best known for co-writing the action-comedy film "Cop Out" and creating several television series.
|
E1153180
|
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 Cullen | Statement: [Cop Out, writer, Mark Cullen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark Cullen Context triple: [Cop Out, writer, Mark Cullen]
-
A.
Stuart Gillard
Stuart Gillard is a Canadian film and television director, writer, and producer known for his work on numerous TV movies and series.
-
B.
Peter Cosgrove
Peter Cosgrove is an Australian retired senior Army officer who served as the 26th Governor-General of Australia.
-
C.
James Brendan Bolger
James Brendan Bolger is a New Zealand politician who served as the country's 35th prime minister from 1990 to 1997, leading the National Party.
-
D.
Stephen McKeon
Stephen McKeon is an Irish composer best known for his work on film and television scores, including the soundtrack for the series "Queen and Country."
-
E.
Michael Leahy
Michael Leahy is a relatively common personal name shared by multiple individuals, including figures in politics, sports, and academia.
- 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 Cullen Triple: [Cop Out, writer, Mark Cullen]
Generated description
Mark Cullen is an American screenwriter and producer best known for co-writing the action-comedy film "Cop Out" and creating several television series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mark Cullen Target entity description: Mark Cullen is an American screenwriter and producer best known for co-writing the action-comedy film "Cop Out" and creating several television series.
-
A.
Stuart Gillard
Stuart Gillard is a Canadian film and television director, writer, and producer known for his work on numerous TV movies and series.
-
B.
Peter Cosgrove
Peter Cosgrove is an Australian retired senior Army officer who served as the 26th Governor-General of Australia.
-
C.
James Brendan Bolger
James Brendan Bolger is a New Zealand politician who served as the country's 35th prime minister from 1990 to 1997, leading the National Party.
-
D.
Stephen McKeon
Stephen McKeon is an Irish composer best known for his work on film and television scores, including the soundtrack for the series "Queen and Country."
-
E.
Michael Leahy
Michael Leahy is a relatively common personal name shared by multiple individuals, including figures in politics, sports, and academia.
- 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_69d85a1483788190ad93c2748e8af34b |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e2d4934819097fc63603964217c |
completed | April 16, 2026, 1:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff0b47f20081909ef7b077458d1510 |
completed | May 9, 2026, 10:24 a.m. |
| NEDg | Description generation | batch_69ff0dde2ec48190aac70b0513fb1847 |
completed | May 9, 2026, 10:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff0e5eabf08190811d8a91bfe0de76 |
completed | May 9, 2026, 10:37 a.m. |
Created at: April 10, 2026, 3:18 a.m.