Triple
T12827210
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raising Arizona |
E306684
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Edwina McDunnough
Edwina McDunnough is a former police officer and the tightly wound, morally driven wife of ex-con H.I. McDunnough in the Coen brothers’ comedy film "Raising Arizona."
|
E1006704
|
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: Edwina McDunnough | Statement: [Raising Arizona, mainCharacter, Edwina McDunnough]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Edwina McDunnough Context triple: [Raising Arizona, mainCharacter, Edwina McDunnough]
-
A.
Patricia Haines
Patricia Haines was a British actress known for her television and film roles in the 1950s and 1960s.
-
B.
Patricia Blair
Patricia Blair was an American film and television actress best known for her roles in 1960s TV series such as "Daniel Boone" and "The Rifleman."
-
C.
Rachel Roberts
Rachel Roberts was a Welsh actress known for her intense, emotionally powerful performances in British and international films during the mid-20th century.
-
D.
Rachel Roberts
Rachel Roberts is a Canadian model and actress known for her work in fashion campaigns and films such as "Simone" and "Entourage."
-
E.
Emma Ferguson
Emma Ferguson is a Scottish actress and the wife of Take That singer Mark Owen.
- 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: Edwina McDunnough Triple: [Raising Arizona, mainCharacter, Edwina McDunnough]
Generated description
Edwina McDunnough is a former police officer and the tightly wound, morally driven wife of ex-con H.I. McDunnough in the Coen brothers’ comedy film "Raising Arizona."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Edwina McDunnough Target entity description: Edwina McDunnough is a former police officer and the tightly wound, morally driven wife of ex-con H.I. McDunnough in the Coen brothers’ comedy film "Raising Arizona."
-
A.
Patricia Haines
Patricia Haines was a British actress known for her television and film roles in the 1950s and 1960s.
-
B.
Patricia Blair
Patricia Blair was an American film and television actress best known for her roles in 1960s TV series such as "Daniel Boone" and "The Rifleman."
-
C.
Rachel Roberts
Rachel Roberts is a Canadian model and actress known for her work in fashion campaigns and films such as "Simone" and "Entourage."
-
D.
Rachel Roberts
Rachel Roberts was a Welsh actress known for her intense, emotionally powerful performances in British and international films during the mid-20th century.
-
E.
Emma Ferguson
Emma Ferguson is a Scottish actress and the wife of Take That singer Mark Owen.
- 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_69d7bdf52b94819096d6f0ba4ab50a98 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96fae51608190a50970bd038359a5 |
completed | April 10, 2026, 9:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f69b99d9bc8190b67f73985c8f6768 |
completed | May 3, 2026, 12:49 a.m. |
| NEDg | Description generation | batch_69f69d48e6948190a13afe3b8943d877 |
completed | May 3, 2026, 12:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f69dfa2b8481908827025a28bfb056 |
completed | May 3, 2026, 12:59 a.m. |
Created at: April 9, 2026, 5:33 p.m.