Triple
T13701969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Night Of |
E328539
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
John Stone
John Stone is a beleaguered, eczema-ridden defense attorney whose dogged, unglamorous work anchors the crime drama miniseries "The Night Of."
|
E1055722
|
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: John Stone | Statement: [The Night Of, mainCharacter, John Stone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Stone Context triple: [The Night Of, mainCharacter, John Stone]
-
A.
Gordon Stone
Gordon Stone is an American local government leader who serves as the longtime mayor of Pike Road, Alabama.
-
B.
Neil Sutherland
Neil Sutherland is a dim-witted yet lovable sixth-form student and one of the four central teenage protagonists in the British sitcom "The Inbetweeners."
-
C.
Colin Stone
Colin Stone is the legal guardian who raised British actor Orlando Bloom after the death of Bloom's biological father.
-
D.
Tom Stone
Tom Stone is an American soccer coach best known for his work in women’s soccer, including collegiate and professional teams.
-
E.
John Stonehouse
John Stonehouse was a British Labour politician and former cabinet minister best known for faking his own death in 1974 in an attempt to escape financial and legal troubles.
- 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: John Stone Triple: [The Night Of, mainCharacter, John Stone]
Generated description
John Stone is a beleaguered, eczema-ridden defense attorney whose dogged, unglamorous work anchors the crime drama miniseries "The Night Of."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: John Stone Target entity description: John Stone is a beleaguered, eczema-ridden defense attorney whose dogged, unglamorous work anchors the crime drama miniseries "The Night Of."
-
A.
Gordon Stone
Gordon Stone is an American local government leader who serves as the longtime mayor of Pike Road, Alabama.
-
B.
Neil Sutherland
Neil Sutherland is a dim-witted yet lovable sixth-form student and one of the four central teenage protagonists in the British sitcom "The Inbetweeners."
-
C.
Colin Stone
Colin Stone is the legal guardian who raised British actor Orlando Bloom after the death of Bloom's biological father.
-
D.
Tom Stone
Tom Stone is an American soccer coach best known for his work in women’s soccer, including collegiate and professional teams.
-
E.
John Stonehouse
John Stonehouse was a British Labour politician and former cabinet minister best known for faking his own death in 1974 in an attempt to escape financial and legal troubles.
- 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_69d8076ff62081908a7bd79889edd7a0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dcad162158819089280ee1e6b5c2cf |
completed | April 13, 2026, 8:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f794575d3881908de6ed988d848918 |
completed | May 3, 2026, 6:30 p.m. |
| NEDg | Description generation | batch_69f79523bf608190addeca563bea132e |
completed | May 3, 2026, 6:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7965cc9f88190acbf232615a9e87b |
completed | May 3, 2026, 6:39 p.m. |
Created at: April 9, 2026, 9:54 p.m.