Triple
T13744122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Don Black |
E330169
|
entity |
| Predicate | collaboratedWith |
P435
|
FINISHED |
| Object | Shirley Bassey |
E109058
|
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: Shirley Bassey | Statement: [Don Black, collaboratedWith, Shirley Bassey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shirley Bassey Context triple: [Don Black, collaboratedWith, Shirley Bassey]
-
A.
Shirley Bassey
chosen
Shirley Bassey is a Welsh singer renowned for her powerful voice and iconic performances of multiple James Bond film theme songs.
-
B.
Cilla Black
Cilla Black was a popular English singer and television presenter who rose to fame in the 1960s with hit singles and later became a beloved UK TV personality.
-
C.
Janet Baker
Janet Baker is a renowned English mezzo-soprano celebrated for her expressive interpretations of lieder, Baroque opera, and French song.
-
D.
Bonnie Tyler
Bonnie Tyler is a Welsh singer known for her distinctive husky voice and hit songs such as "Total Eclipse of the Heart" and "Holding Out for a Hero."
-
E.
Petula Clark
Petula Clark is a British singer and actress best known for her 1960s pop hits like "Downtown" and her successful film and stage career.
- 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_69d81c573f288190aa2403d484fa3d49 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de020855ec8190a60fa1cb761f2e68 |
completed | April 14, 2026, 8:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7a8501890819081152bc2e9c06836 |
completed | May 3, 2026, 7:56 p.m. |
Created at: April 9, 2026, 10:08 p.m.