Triple
T15358266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cop Out |
E367219
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object |
Robb Cullen
Robb Cullen is an American screenwriter and producer best known for co-writing the action-comedy film "Cop Out" and creating several television series.
|
E1155678
|
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: Robb Cullen | Statement: [Cop Out, writer, Robb Cullen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robb Cullen Context triple: [Cop Out, writer, Robb Cullen]
-
A.
Robb Wells
Robb Wells is a Canadian actor and screenwriter best known for his role as Ricky on the mockumentary television series "Trailer Park Boys."
-
B.
Robb Sullivan
Robb Sullivan is a film editor known for his work on the romantic comedy-drama movie "Stuck in Love."
-
C.
Robb Holland
Robb Holland is an American professional racing driver known for competing in touring car and endurance racing series in both the United States and Europe.
-
D.
Ryan Duncan
Ryan Duncan is a Canadian ice hockey forward best known for his standout collegiate career at the University of North Dakota, where he emerged as one of the top players in NCAA hockey.
-
E.
Devlin Elliott
Devlin Elliott is an American theater and film producer best known as the husband of actor Nathan Lane.
- 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: Robb Cullen Triple: [Cop Out, writer, Robb Cullen]
Generated description
Robb 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: Robb Cullen Target entity description: Robb Cullen is an American screenwriter and producer best known for co-writing the action-comedy film "Cop Out" and creating several television series.
-
A.
Robb Wells
Robb Wells is a Canadian actor and screenwriter best known for his role as Ricky on the mockumentary television series "Trailer Park Boys."
-
B.
Robb Sullivan
Robb Sullivan is a film editor known for his work on the romantic comedy-drama movie "Stuck in Love."
-
C.
Robb Holland
Robb Holland is an American professional racing driver known for competing in touring car and endurance racing series in both the United States and Europe.
-
D.
Ryan Duncan
Ryan Duncan is a Canadian ice hockey forward best known for his standout collegiate career at the University of North Dakota, where he emerged as one of the top players in NCAA hockey.
-
E.
Devlin Elliott
Devlin Elliott is an American theater and film producer best known as the husband of actor Nathan Lane.
- 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_69ff1a6991148190b522684b35c07b1a |
completed | May 9, 2026, 11:28 a.m. |
| NEDg | Description generation | batch_69ff1b3c563481908418411a977df343 |
completed | May 9, 2026, 11:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff1c0ad5448190903dc38f78512f3b |
completed | May 9, 2026, 11:35 a.m. |
Created at: April 10, 2026, 3:18 a.m.