Triple
T15198573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jarrad Rogers |
E363203
|
entity |
| Predicate | hasCollaboratedWith |
P8554
|
FINISHED |
| Object | Jess Glynne |
E379216
|
NE FINISHED |
How this triple was built (2 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: Jess Glynne | Statement: [Jarrad Rogers, hasCollaboratedWith, Jess Glynne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jess Glynne Context triple: [Jarrad Rogers, hasCollaboratedWith, Jess Glynne]
-
A.
Jess Glynne
chosen
Jess Glynne is an English singer and songwriter known for her soulful vocals and chart-topping pop and dance hits, including several UK number-one singles.
-
B.
Ellie Goulding
Ellie Goulding is an English singer-songwriter known for her ethereal vocals and synth-pop hits such as "Lights" and "Love Me Like You Do."
-
C.
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."
-
D.
Emeli Sandé
Emeli Sandé is a Scottish singer-songwriter known for her powerful vocals and soulful pop hits such as "Next to Me" and "Read All About It."
-
E.
Sarah Wildes
Sarah Wildes was a woman executed for witchcraft during the Salem witch trials in 1692.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e006b476208190a5119710c518bb1f |
completed | April 15, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffcf0a12e081908d7d2ae7c9774f94 |
completed | May 10, 2026, 12:19 a.m. |
Created at: April 10, 2026, 3:10 a.m.