Triple
T8776587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tears Are Not Enough |
E208598
|
entity |
| Predicate | songwriter |
P1141
|
FINISHED |
| Object |
Rachel Paiement
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."
|
E756433
|
NE FINISHED |
How this triple was built (4 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, songwriter, Rachel Paiement]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rachel Paiement Context triple: [Tears Are Not Enough, songwriter, Rachel Paiement]
-
A.
Michelle Bodine
Michelle Bodine is a musician best known as an early member of the alternative rock band The Breeders.
-
B.
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.
-
C.
Kayla Ford
Kayla Ford is a member of the Ford family and the daughter of Ontario Premier Doug Ford.
-
D.
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."
-
E.
Hilary Bardwell
Hilary Bardwell is a British woman best known as the first wife of novelist Kingsley Amis and the mother of writer Martin Amis.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Rachel Paiement Triple: [Tears Are Not Enough, songwriter, Rachel Paiement]
Generated description
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."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rachel Paiement Target entity description: 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."
-
A.
Michelle Bodine
Michelle Bodine is a musician best known as an early member of the alternative rock band The Breeders.
-
B.
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.
-
C.
Kayla Ford
Kayla Ford is a member of the Ford family and the daughter of Ontario Premier Doug Ford.
-
D.
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."
-
E.
Hilary Bardwell
Hilary Bardwell is a British woman best known as the first wife of novelist Kingsley Amis and the mother of writer Martin Amis.
- F. None of above. chosen
Provenance (5 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_69cf51ceee2c81908d521cc4931e25dd |
completed | April 3, 2026, 5:36 a.m. |
| NEDg | Description generation | batch_69cf53a27e2c8190a639d3b1007c11c3 |
completed | April 3, 2026, 5:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf54129d888190b61d67f99ad36cb8 |
completed | April 3, 2026, 5:45 a.m. |
Created at: March 30, 2026, 6:42 p.m.