Triple
T18600666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The War Room |
E454610
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object |
Nick Doob
Nick Doob is an American cinematographer and documentary filmmaker known for his work on influential political and social-issue films.
|
E1334800
|
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: Nick Doob | Statement: [The War Room, cinematographyBy, Nick Doob]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nick Doob Context triple: [The War Room, cinematographyBy, Nick Doob]
-
A.
Danny Jacobson
Danny Jacobson is an American television writer and producer best known for co-creating the hit sitcom "Mad About You."
-
B.
Damon Gough
Damon Gough is an English singer-songwriter and multi-instrumentalist best known for recording under the stage name Badly Drawn Boy.
-
C.
Jason Ratcliff
Jason Ratcliff is an American NASCAR crew chief best known for leading competitive Cup and Xfinity Series teams, particularly with Joe Gibbs Racing.
-
D.
Mark Dooley
Mark Dooley is a film producer best known for his work on the 2013 biographical drama "Jobs," which chronicles the life of Apple co-founder Steve Jobs.
-
E.
Geoff Rodkey
Geoff Rodkey is an American screenwriter and author known for his work on family comedies and children's books, including the film "Daddy Day Care."
- 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: Nick Doob Triple: [The War Room, cinematographyBy, Nick Doob]
Generated description
Nick Doob is an American cinematographer and documentary filmmaker known for his work on influential political and social-issue films.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nick Doob Target entity description: Nick Doob is an American cinematographer and documentary filmmaker known for his work on influential political and social-issue films.
-
A.
Danny Jacobson
Danny Jacobson is an American television writer and producer best known for co-creating the hit sitcom "Mad About You."
-
B.
Damon Gough
Damon Gough is an English singer-songwriter and multi-instrumentalist best known for recording under the stage name Badly Drawn Boy.
-
C.
Jason Ratcliff
Jason Ratcliff is an American NASCAR crew chief best known for leading competitive Cup and Xfinity Series teams, particularly with Joe Gibbs Racing.
-
D.
Mark Dooley
Mark Dooley is a film producer best known for his work on the 2013 biographical drama "Jobs," which chronicles the life of Apple co-founder Steve Jobs.
-
E.
Geoff Rodkey
Geoff Rodkey is an American screenwriter and author known for his work on family comedies and children's books, including the film "Daddy Day Care."
- 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_69d8d38ae7e081908a98df1251842402 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5475018548190a2f497081af7ce55 |
completed | April 19, 2026, 9:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a050d6eb92c8190aa0c1f4eb0deb5cb |
completed | May 13, 2026, 11:46 p.m. |
| NEDg | Description generation | batch_6a050e04ebd881909120edb46168fbcb |
completed | May 13, 2026, 11:49 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a050e6112e88190a399cf58ea6c8401 |
completed | May 13, 2026, 11:50 p.m. |
Created at: April 10, 2026, 11:45 a.m.