Triple
T15164322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crooked Rain, Crooked Rain |
E362295
|
entity |
| Predicate | featuresMember |
P17143
|
FINISHED |
| Object | Steve West |
E362292
|
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: Steve West | Statement: [Crooked Rain, Crooked Rain, featuresMember, Steve West]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steve West Context triple: [Crooked Rain, Crooked Rain, featuresMember, Steve West]
-
A.
Steve West
chosen
Steve West is an American drummer best known for his work with the influential indie rock band Pavement.
-
B.
Duncan Kenworthy
Duncan Kenworthy is a British film and television producer best known for hit romantic comedies such as "Four Weddings and a Funeral," "Notting Hill," and "Love Actually."
-
C.
Ken Walters
Ken Walters is a distinguished scientist in the field of rheology, recognized for his influential research on the flow and deformation of complex fluids.
-
D.
Kevin Fogarty
Kevin Fogarty is a notable individual recognized for achievements significant enough to be recorded under the surname Fogarty.
-
E.
Greg Vincent
Greg Vincent is a fictional character appearing in the American medical drama television series "Nurses."
- 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_69d85a087b7c81908baa94a53dac8d68 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0064b21ac81908b793bdbd741bcd8 |
completed | April 15, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69febffdf65c8190bf629dfc32b97caa |
completed | May 9, 2026, 5:02 a.m. |
Created at: April 10, 2026, 3:08 a.m.