Triple
T8776590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tears Are Not Enough |
E208598
|
entity |
| Predicate | lyricist |
P1360
|
FINISHED |
| Object | Rachel Paiement |
E756433
|
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: Rachel Paiement | Statement: [Tears Are Not Enough, lyricist, Rachel Paiement]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rachel Paiement Context triple: [Tears Are Not Enough, lyricist, Rachel Paiement]
-
A.
Rachel Paiement
chosen
Rachel Paiement is a Canadian singer-songwriter known for her contributions to francophone music and for co-writing the charity single "Tears Are Not Enough."
-
B.
Michelle Bodine
Michelle Bodine is a musician best known as an early member of the alternative rock band The Breeders.
-
C.
Breanne Racano
Breanne Racano is an American actress and podcast host best known for her work in television and her marriage to actor Jerry Ferrara.
-
D.
Kayla Ford
Kayla Ford is a member of the Ford family and the daughter of Ontario Premier Doug Ford.
-
E.
Courtney Eaton
Courtney Eaton is an Australian actress and model best known for her roles in action and fantasy films such as "Mad Max: Fury Road" and "Gods of Egypt."
- 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_69ca835fbee88190bf625939bac48d7f |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5f5086088190b317cf2aac7bee83 |
completed | March 31, 2026, 11:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf6f33ca1081908d65d14c83199c5a |
completed | April 3, 2026, 7:41 a.m. |
Created at: March 30, 2026, 6:42 p.m.