Triple
T1366898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spoonman |
E30023
|
entity |
| Predicate | bassist |
P15279
|
FINISHED |
| Object | Ben Shepherd |
E235560
|
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: Ben Shepherd | Statement: [Spoonman, bassist, Ben Shepherd]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ben Shepherd Context triple: [Spoonman, bassist, Ben Shepherd]
-
A.
Ben Shepherd
chosen
Ben Shepherd is an American musician best known as the longtime bassist for the influential grunge band Soundgarden.
-
B.
Keith Scholey
Keith Scholey is a British wildlife filmmaker and producer known for creating and overseeing major nature documentaries, including the acclaimed series Our Planet.
-
C.
Jon Cornish
Jon Cornish is a former Canadian Football League star running back who became a prominent community leader and chancellor of the University of Calgary.
-
D.
Will Shephard
Will Shephard is an actor known for his role in the 1976 remake of the classic monster film King Kong.
-
E.
John Brett
John Brett was a 19th-century British painter associated with the Pre-Raphaelite movement, renowned for his highly detailed landscapes and maritime scenes.
- 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_69a498f912008190a376a98b207b2071 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c2d33d2081908008494b5f56bf56 |
completed | March 1, 2026, 10:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae5d762bb0819092685731269e57c4 |
completed | March 9, 2026, 5:41 a.m. |
Created at: March 1, 2026, 7:57 p.m.