Triple
T1114871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toby Gad |
E11074
|
entity |
| Predicate | hasWorkedWith |
P9615
|
FINISHED |
| Object |
Leona Lewis
Leona Lewis is a British singer and songwriter who rose to fame after winning The X Factor and is best known for her powerful vocals and hit single "Bleeding Love."
|
E128209
|
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: Leona Lewis | Statement: [Toby Gad, hasWorkedWith, Leona Lewis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leona Lewis Context triple: [Toby Gad, hasWorkedWith, Leona Lewis]
-
A.
Joss Stone
Joss Stone is an English soul and R&B singer-songwriter known for her powerful, bluesy vocals and hit albums like "The Soul Sessions."
-
B.
Sarah Wildes
Sarah Wildes was a woman executed for witchcraft during the Salem witch trials in 1692.
-
C.
Elaine Paige
Elaine Paige is an English singer and actress renowned as the "First Lady of British Musical Theatre" for her leading roles in hit West End and Broadway productions such as Evita and Cats.
-
D.
Jessie J
Jessie J is an English pop and R&B singer-songwriter known for powerful vocals and hits like "Price Tag" and "Domino."
-
E.
Lily Allen
Lily Allen is an English singer, songwriter, and author known for her sharp, witty lyrics and pop hits such as "Smile" and "The Fear."
- 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: Leona Lewis Triple: [Toby Gad, hasWorkedWith, Leona Lewis]
Generated description
Leona Lewis is a British singer and songwriter who rose to fame after winning The X Factor and is best known for her powerful vocals and hit single "Bleeding Love."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Leona Lewis Target entity description: Leona Lewis is a British singer and songwriter who rose to fame after winning The X Factor and is best known for her powerful vocals and hit single "Bleeding Love."
-
A.
Joss Stone
Joss Stone is an English soul and R&B singer-songwriter known for her powerful, bluesy vocals and hit albums like "The Soul Sessions."
-
B.
Sarah Wildes
Sarah Wildes was a woman executed for witchcraft during the Salem witch trials in 1692.
-
C.
Elaine Paige
Elaine Paige is an English singer and actress renowned as the "First Lady of British Musical Theatre" for her leading roles in hit West End and Broadway productions such as Evita and Cats.
-
D.
Jessie J
Jessie J is an English pop and R&B singer-songwriter known for powerful vocals and hits like "Price Tag" and "Domino."
-
E.
Lily Allen
Lily Allen is an English singer, songwriter, and author known for her sharp, witty lyrics and pop hits such as "Smile" and "The Fear."
- 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_69a493252a648190ac48f8742474a5e8 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4bba161e881908dcd1a66522abf5d |
completed | March 1, 2026, 10:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac539783188190896ab66306697b1c |
completed | March 7, 2026, 4:34 p.m. |
| NEDg | Description generation | batch_69ac544fc41881908daff6b313622619 |
completed | March 7, 2026, 4:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac5526679081909c9f7458bd316ff6 |
completed | March 7, 2026, 4:41 p.m. |
Created at: March 1, 2026, 7:43 p.m.