Triple
T4374149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Michael |
E98964
|
entity |
| Predicate | collaboratedWith |
P435
|
FINISHED |
| Object | Elton John |
E39424
|
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: Elton John | Statement: [George Michael, collaboratedWith, Elton John]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elton John Context triple: [George Michael, collaboratedWith, Elton John]
-
A.
Elton John
chosen
Elton John is a legendary British singer, pianist, and composer known for his flamboyant style and numerous hit songs across several decades.
-
B.
Cliff Richard
Cliff Richard is a British pop singer and entertainer whose career has spanned several decades, making him one of the best-selling music artists in UK history.
-
C.
Tom Jones
Tom Jones is a 1963 British comedy-adventure film, based on Henry Fielding’s novel, that became a critical and commercial success and won the Academy Award for Best Picture.
-
D.
Tom Jones
Tom Jones is a Welsh singer renowned for his powerful voice and hit songs like "It's Not Unusual," who became an international star from the 1960s onward.
-
E.
Liberace
Liberace was a flamboyant American pianist and entertainer known for his virtuosic performances, extravagant costumes, and popular television shows from the 1950s onward.
- 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_69b3454db3708190aeafd814413c4c3d |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35220fa648190b116e786783a7eba |
completed | March 12, 2026, 11:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5e512350081908da06038e3080a3e |
completed | March 14, 2026, 10:45 p.m. |
Created at: March 12, 2026, 11:17 p.m.