Triple
T8776588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tears Are Not Enough |
E208598
|
entity |
| Predicate | lyricist |
P1360
|
FINISHED |
| Object | Jim Vallance |
E478625
|
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: Jim Vallance | Statement: [Tears Are Not Enough, lyricist, Jim Vallance]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jim Vallance Context triple: [Tears Are Not Enough, lyricist, Jim Vallance]
-
A.
Jim Vallance
chosen
Jim Vallance is a Canadian songwriter and musician best known as Bryan Adams’ longtime co-writer on many of his biggest hits.
-
B.
John Janick
John Janick is an American music executive best known as the chairman and CEO of Interscope Geffen A&M, where he has overseen major artists and successful label operations.
-
C.
Ross Valory
Ross Valory is an American bassist best known as a founding and longtime member of the rock band Journey, contributing to many of their classic albums and hits.
-
D.
Michael Watts
Michael Watts is a notable individual whose name is associated with the surname Watts, though additional context is needed to distinguish his specific identity or achievements.
-
E.
Michael Coulter
Michael Coulter is a British cinematographer known for his work on popular films including the romantic comedy "Love Actually."
- 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.