Triple
T6502200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cold Shot |
E148914
|
entity |
| Predicate | lyricist |
P1360
|
FINISHED |
| Object | Michael Kindred |
E600590
|
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: Michael Kindred | Statement: [Cold Shot, lyricist, Michael Kindred]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Kindred Context triple: [Cold Shot, lyricist, Michael Kindred]
-
A.
Michael Kindred
chosen
Michael Kindred is a composer best known for writing the music for the song "Cold Shot."
-
B.
Roderick Kinney
Roderick Kinney is an individual notable enough to be specifically identified as a bearer of the Kinney surname.
-
C.
Carl Piper
Carl Piper was a prominent Swedish statesman and close adviser to King Charles XII during the Great Northern War.
-
D.
Michael Graydon
Michael Graydon is a retired senior Royal Air Force officer who served as a leading commander of British fighter aviation during the late 20th century.
-
E.
John Stonehouse
John Stonehouse was a British Labour politician and former cabinet minister best known for faking his own death in 1974 in an attempt to escape financial and legal troubles.
- 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_69c687e9ad288190bae5bcac9c8ac855 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c68ad440dc8190a074f049dbda2f55 |
completed | March 27, 2026, 1:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d5089ea48190b75638f86398da5a |
completed | March 27, 2026, 7:05 p.m. |
Created at: March 27, 2026, 1:42 p.m.