Triple
T14657089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Night Shift |
E344138
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Belinda Keaton
Belinda Keaton is the central protagonist of the work "Night Shift," around whom the main events and character dynamics revolve.
|
E1120039
|
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: Belinda Keaton | Statement: [Night Shift, mainCharacter, Belinda Keaton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Belinda Keaton Context triple: [Night Shift, mainCharacter, Belinda Keaton]
-
A.
Belinda Beatty
Belinda Beatty is known as the wife of the late American character actor Ned Beatty.
-
B.
Minka Kelly
Minka Kelly is an American actress known for her roles in television series such as "Friday Night Lights" and "Parenthood," as well as films including "The Roommate" and "The Butler."
-
C.
Laura Grey
Laura Grey is an American comedian, writer, and actress known for her work on satirical television and sketch comedy, as well as her collaborations with fellow comedian Jordan Klepper.
-
D.
Laura Davenport
Laura Davenport is the daughter of English actor Nigel Davenport.
-
E.
Dyan Cannon
Dyan Cannon is an American actress, director, and producer known for her work in film and television since the 1960s, as well as for her high-profile marriage to Cary Grant.
- 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: Belinda Keaton Triple: [Night Shift, mainCharacter, Belinda Keaton]
Generated description
Belinda Keaton is the central protagonist of the work "Night Shift," around whom the main events and character dynamics revolve.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Belinda Keaton Target entity description: Belinda Keaton is the central protagonist of the work "Night Shift," around whom the main events and character dynamics revolve.
-
A.
Belinda Beatty
Belinda Beatty is known as the wife of the late American character actor Ned Beatty.
-
B.
Minka Kelly
Minka Kelly is an American actress known for her roles in television series such as "Friday Night Lights" and "Parenthood," as well as films including "The Roommate" and "The Butler."
-
C.
Laura Grey
Laura Grey is an American comedian, writer, and actress known for her work on satirical television and sketch comedy, as well as her collaborations with fellow comedian Jordan Klepper.
-
D.
Laura Davenport
Laura Davenport is the daughter of English actor Nigel Davenport.
-
E.
Dyan Cannon
Dyan Cannon is an American actress, director, and producer known for her work in film and television since the 1960s, as well as for her high-profile marriage to Cary Grant.
- 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_69d822e1a2cc81908e5bb93cf61ce3cc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb51a562c819098971447db4b29f7 |
completed | April 14, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe24a6b0908190943f193f5a17ec8c |
completed | May 8, 2026, 6 p.m. |
| NEDg | Description generation | batch_69fe290e8f008190abb09c6e3f1ab473 |
completed | May 8, 2026, 6:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe29597bbc8190b9d514913298721d |
completed | May 8, 2026, 6:20 p.m. |
Created at: April 10, 2026, 1:27 a.m.