Triple
T13724591
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cheryl |
E329120
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Tweedy
Tweedy is the surname of English singer and television personality Cheryl, formerly known as Cheryl Cole.
|
E1058429
|
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: Tweedy | Statement: [Cheryl, familyName, Tweedy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tweedy Context triple: [Cheryl, familyName, Tweedy]
-
A.
Huggy Bear
Huggy Bear is a streetwise, well-connected informant and bar owner who serves as a key ally to the titular detectives in the television series "Starsky & Hutch."
-
B.
De Tukkers
De Tukkers is the popular nickname for Dutch football club FC Twente, reflecting its roots in the Twente region and local Twentse identity.
-
C.
The Wombats
The Wombats are an English indie rock band known for their energetic, hook-driven songs and witty, often self-deprecating lyrics.
-
D.
The High Llamas
The High Llamas are a British band led by Sean O'Hagan, known for their lush, orchestrated pop that blends Beach Boys-style harmonies with experimental and electronic influences.
-
E.
Supergrass
Supergrass is an English alternative rock band best known for their energetic, hook-filled songs that helped define the mid-1990s Britpop movement.
- 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: Tweedy Triple: [Cheryl, familyName, Tweedy]
Generated description
Tweedy is the surname of English singer and television personality Cheryl, formerly known as Cheryl Cole.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tweedy Target entity description: Tweedy is the surname of English singer and television personality Cheryl, formerly known as Cheryl Cole.
-
A.
Huggy Bear
Huggy Bear is a streetwise, well-connected informant and bar owner who serves as a key ally to the titular detectives in the television series "Starsky & Hutch."
-
B.
De Tukkers
De Tukkers is the popular nickname for Dutch football club FC Twente, reflecting its roots in the Twente region and local Twentse identity.
-
C.
The Wombats
The Wombats are an English indie rock band known for their energetic, hook-driven songs and witty, often self-deprecating lyrics.
-
D.
The High Llamas
The High Llamas are a British band led by Sean O'Hagan, known for their lush, orchestrated pop that blends Beach Boys-style harmonies with experimental and electronic influences.
-
E.
Supergrass
Supergrass is an English alternative rock band best known for their energetic, hook-filled songs that helped define the mid-1990s Britpop movement.
- 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_69d80770b9bc81909f70c8c317d53cff |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69de01f52e748190b49c34e10ab8ac34 |
completed | April 14, 2026, 8:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d60cd048190b20c4e6f49f816a6 |
completed | May 3, 2026, 7:09 p.m. |
| NEDg | Description generation | batch_69f79e9e6ff88190b031fb1403cacabc |
completed | May 3, 2026, 7:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7a2d6e7ec81908a4cbc324e793c24 |
completed | May 3, 2026, 7:32 p.m. |
Created at: April 9, 2026, 9:55 p.m.