Triple
T16317834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Love and Marriage |
E396216
|
entity |
| Predicate | recordedBy |
P1165
|
FINISHED |
| Object | Peggy Lee |
E128309
|
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: Peggy Lee | Statement: [Love and Marriage, recordedBy, Peggy Lee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peggy Lee Context triple: [Love and Marriage, recordedBy, Peggy Lee]
-
A.
Peggy Lee
chosen
Peggy Lee was an acclaimed American jazz and popular music singer, songwriter, and actress known for her sultry voice and sophisticated, understated style.
-
B.
Jo Stafford
Jo Stafford was an American traditional pop and jazz singer renowned for her smooth vocal style and numerous hit recordings from the 1940s through the 1950s.
-
C.
Eydie Gormé
Eydie Gormé was an American pop and Latin-influenced singer best known for her solo hits and her longtime musical partnership with her husband, Steve Lawrence.
-
D.
Keely Smith
Keely Smith was an American jazz and pop singer best known for her work with Louis Prima in the 1950s and her cool, understated vocal style.
-
E.
Julie London
Julie London was an American singer and actress renowned for her sultry, intimate vocal style and popular recordings in the 1950s and 1960s.
- 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_69d87f255b788190a400eba031dd85d8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e296b31b988190bb1fde36dae11bbd |
completed | April 17, 2026, 8:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00a5047a7c8190bac0ac9888547d16 |
completed | May 10, 2026, 3:32 p.m. |
Created at: April 10, 2026, 5:06 a.m.