Triple
T5092182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sid and Nancy |
E114775
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Debby Bishop
Debby Bishop is a British actress best known for her work in film and television during the 1980s, including a role in the cult biographical drama "Sid and Nancy."
|
E654770
|
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: Debby Bishop | Statement: [Sid and Nancy, starring, Debby Bishop]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Debby Bishop Context triple: [Sid and Nancy, starring, Debby Bishop]
-
A.
Debbie Meadows
Debbie Meadows is an American political figure and businesswoman best known as the wife of former White House Chief of Staff and congressman Mark Meadows.
-
B.
Debra Humphries
Debra Humphries is the mother of former NBA player Kris Humphries.
-
C.
Deb Dobkins
Deb Dobkins is a shallow, fashion-obsessed model who dies and is reincarnated in the body of a brilliant, plus-sized lawyer in the television series "Drop Dead Diva."
-
D.
Laura Bickford
Laura Bickford is an American film producer best known for her work on acclaimed independent and studio films, including the Oscar-winning drama "Traffic."
-
E.
Deanna Oliver
Deanna Oliver is an American screenwriter and voice actress best known for co-writing the 1995 live-action/CGI family film "Casper."
- 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: Debby Bishop Triple: [Sid and Nancy, starring, Debby Bishop]
Generated description
Debby Bishop is a British actress best known for her work in film and television during the 1980s, including a role in the cult biographical drama "Sid and Nancy."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Debby Bishop Target entity description: Debby Bishop is a British actress best known for her work in film and television during the 1980s, including a role in the cult biographical drama "Sid and Nancy."
-
A.
Debbie Meadows
Debbie Meadows is an American political figure and businesswoman best known as the wife of former White House Chief of Staff and congressman Mark Meadows.
-
B.
Debra Humphries
Debra Humphries is the mother of former NBA player Kris Humphries.
-
C.
Deb Dobkins
Deb Dobkins is a shallow, fashion-obsessed model who dies and is reincarnated in the body of a brilliant, plus-sized lawyer in the television series "Drop Dead Diva."
-
D.
Laura Bickford
Laura Bickford is an American film producer best known for her work on acclaimed independent and studio films, including the Oscar-winning drama "Traffic."
-
E.
Deanna Oliver
Deanna Oliver is an American screenwriter and voice actress best known for co-writing the 1995 live-action/CGI family film "Casper."
- 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_69bd443e941881908eb4e8c685b6f656 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd754369708190bf4e171a904a19e1 |
completed | March 20, 2026, 4:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7e4e76cf881909e45c3652a372a70 |
completed | March 28, 2026, 2:25 p.m. |
| NEDg | Description generation | batch_69c7e6671e2c8190aed42aa673540efa |
completed | March 28, 2026, 2:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7e6cd820881909ef8fd3bc28d2716 |
completed | March 28, 2026, 2:33 p.m. |
Created at: March 20, 2026, 1:40 p.m.