Triple
T18422251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Guess Who |
E442048
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Ken Koblun |
—
|
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: Ken Koblun | Statement: [The Guess Who, hasMember, Ken Koblun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ken Koblun Context triple: [The Guess Who, hasMember, Ken Koblun]
-
A.
Ken Koblun
chosen
Ken Koblun is a Canadian bassist best known for his early involvement with the influential 1960s rock band Buffalo Springfield.
-
B.
Michael Krieger
Michael Krieger is a fictional character appearing in the story of "Watch Over Me."
-
C.
Mike Krieger
Mike Krieger is a Brazilian-American entrepreneur and software engineer best known as the co-founder and former CTO of the photo-sharing social media platform Instagram.
-
D.
Eric Lofgren
Eric Lofgren is an epidemiologist known for using World of Warcraft’s Corrupted Blood incident as a model to study the spread of infectious diseases and human behavior during epidemics.
-
E.
Gary Grooberson
Gary Grooberson is a seismologist and summer school teacher who becomes entangled with ghostly events and the legacy of the original Ghostbusters in the film "Ghostbusters: Afterlife."
- 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_69d8b9eb8a508190a942fd75ebd8b1dc |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e51a2c98b0819082672174bf69b88c |
completed | April 19, 2026, 6:08 p.m. |
Created at: April 10, 2026, 10:47 a.m.