Triple
T14104622
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deep Cover |
E339472
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Betty McCutcheon
Betty McCutcheon is a fictional character from the crime film "Deep Cover."
|
E1082161
|
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: Betty McCutcheon | Statement: [Deep Cover, character, Betty McCutcheon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Betty McCutcheon Context triple: [Deep Cover, character, Betty McCutcheon]
-
A.
Ella Craig
Ella Craig is a British-American actress and model best known as the daughter of James Bond star Daniel Craig.
-
B.
Maureen Beattie
Maureen Beattie is a Scottish actress known for her extensive work in television, theatre, and film, including roles in British dramas and comedies.
-
C.
Maureen McDonnell
Maureen McDonnell is the former First Lady of Virginia who gained national attention due to her and her husband Bob McDonnell’s high-profile political corruption trial.
-
D.
Clare Foley
Clare Foley is an American actress known for her roles in film and television, including appearances in projects like the boxing drama "Southpaw" and the TV series "Gotham."
-
E.
Caroline Abbott
Caroline Abbott is a central character in E.M. Forster’s novel "Where Angels Fear to Tread," whose moral earnestness and cultural naivety drive much of the story’s conflict.
- 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: Betty McCutcheon Triple: [Deep Cover, character, Betty McCutcheon]
Generated description
Betty McCutcheon is a fictional character from the crime film "Deep Cover."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Betty McCutcheon Target entity description: Betty McCutcheon is a fictional character from the crime film "Deep Cover."
-
A.
Ella Craig
Ella Craig is a British-American actress and model best known as the daughter of James Bond star Daniel Craig.
-
B.
Maureen Beattie
Maureen Beattie is a Scottish actress known for her extensive work in television, theatre, and film, including roles in British dramas and comedies.
-
C.
Maureen McDonnell
Maureen McDonnell is the former First Lady of Virginia who gained national attention due to her and her husband Bob McDonnell’s high-profile political corruption trial.
-
D.
Clare Foley
Clare Foley is an American actress known for her roles in film and television, including appearances in projects like the boxing drama "Southpaw" and the TV series "Gotham."
-
E.
Caroline Abbott
Caroline Abbott is a central character in E.M. Forster’s novel "Where Angels Fear to Tread," whose moral earnestness and cultural naivety drive much of the story’s conflict.
- 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_69d81c69b5c8819094aa1abf18302908 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5fbd02888190bf07fd6d8769b61c |
completed | April 14, 2026, 3:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcdf04871c8190891605415f1abf7f |
completed | May 7, 2026, 6:50 p.m. |
| NEDg | Description generation | batch_69fce0cc78e881909090ac42a97ebb12 |
completed | May 7, 2026, 6:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fce1f53a8881909fd1258729a9879d |
completed | May 7, 2026, 7:03 p.m. |
Created at: April 9, 2026, 10:22 p.m.