Triple
T17260692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lifeblood |
E419000
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Tom Elmhirst |
—
|
NE NERFINISHED |
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: Tom Elmhirst | Statement: [Lifeblood, producer, Tom Elmhirst]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tom Elmhirst Context triple: [Lifeblood, producer, Tom Elmhirst]
-
A.
Tom Elmhirst
chosen
Tom Elmhirst is a Grammy-winning British mix engineer and producer known for his work with artists such as Amy Winehouse, Adele, and David Bowie.
-
B.
Sam Pilling
Sam Pilling is a British director known for his visually inventive and narrative-driven music videos for prominent contemporary artists.
-
C.
Jonathan Gledhill
Jonathan Gledhill was an English Anglican bishop who served in senior episcopal roles in the Church of England, including as Bishop of Stafford.
-
D.
Tim Fywell
Tim Fywell is a British film and television director known for his work on literary adaptations and period dramas.
-
E.
Glyn Harman
Glyn Harman is a British mathematician known for his contributions to analytic number theory, particularly in the study of prime numbers and Diophantine approximation.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d886d9ab108190b70edd8d17aa1204 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42e70b00c8190b0380be08afae18d |
completed | April 19, 2026, 1:22 a.m. |
Created at: April 10, 2026, 5:39 a.m.