Triple
T2129673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | White Chicks |
E46507
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object |
Andrew McElfresh
Andrew McElfresh is an American comedy writer and screenwriter known for his work on films such as "White Chicks."
|
E247559
|
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: Andrew McElfresh | Statement: [White Chicks, screenwriter, Andrew McElfresh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andrew McElfresh Context triple: [White Chicks, screenwriter, Andrew McElfresh]
-
A.
Tom McEwen
Tom McEwen was a Canadian communist organizer and political activist known for his leading role in the early development of the Communist Party of Canada.
-
B.
Ed McCauley
Ed McCauley is a Canadian academic and research leader who serves as president of the University of Calgary.
-
C.
Joseph McNeil
Joseph McNeil is an American civil rights activist best known as one of the Greensboro Four who helped spark the sit-in movement against racial segregation in the United States.
-
D.
Sean Eldridge
Sean Eldridge is an American political activist, investor, and former congressional candidate known for his work on progressive causes and campaign finance reform.
-
E.
Donald McAlpine
Donald McAlpine is an acclaimed Australian cinematographer known for his visually distinctive work on numerous prominent films across several decades.
- 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: Andrew McElfresh Triple: [White Chicks, screenwriter, Andrew McElfresh]
Generated description
Andrew McElfresh is an American comedy writer and screenwriter known for his work on films such as "White Chicks."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Andrew McElfresh Target entity description: Andrew McElfresh is an American comedy writer and screenwriter known for his work on films such as "White Chicks."
-
A.
Tom McEwen
Tom McEwen was a Canadian communist organizer and political activist known for his leading role in the early development of the Communist Party of Canada.
-
B.
Ed McCauley
Ed McCauley is a Canadian academic and research leader who serves as president of the University of Calgary.
-
C.
Joseph McNeil
Joseph McNeil is an American civil rights activist best known as one of the Greensboro Four who helped spark the sit-in movement against racial segregation in the United States.
-
D.
Sean Eldridge
Sean Eldridge is an American political activist, investor, and former congressional candidate known for his work on progressive causes and campaign finance reform.
-
E.
Donald McAlpine
Donald McAlpine is an acclaimed Australian cinematographer known for his visually distinctive work on numerous prominent films across several decades.
- 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_69a88a1626548190ae59a5028c3baa8e |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abbb77ccc4819087bee5dbb91b5ae8 |
completed | March 7, 2026, 5:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae6aec3694819090d0e7cf02944aa3 |
completed | March 9, 2026, 6:38 a.m. |
| NEDg | Description generation | batch_69ae6c1bc7e4819081b7eedf5391e733 |
completed | March 9, 2026, 6:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae6c88f64c81908586682d1fd8cd26 |
completed | March 9, 2026, 6:45 a.m. |
Created at: March 4, 2026, 7:44 p.m.