Triple
T15121806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ghost (Justin Bieber song) |
E361188
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Stefan Johnson |
E664093
|
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: Stefan Johnson | Statement: [Ghost (Justin Bieber song), writer, Stefan Johnson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stefan Johnson Context triple: [Ghost (Justin Bieber song), writer, Stefan Johnson]
-
A.
Stefan Johnson
chosen
Stefan Johnson is a writer known for his work on the film "Daisies."
-
B.
Stefan Johnson
Stefan Johnson is a music producer best known as a member of the production duo Sick Boy.
-
C.
Damon Johnson
Damon Johnson is an American guitarist, singer, and songwriter best known for his work with bands like Brother Cane, Alice Cooper, Thin Lizzy, and Black Star Riders.
-
D.
Kevin Stein
Kevin Stein is an American poet, critic, and educator known for his influential role in contemporary Midwestern poetry and service as Illinois's Poet Laureate.
-
E.
Michael Robert Johnson
Michael Robert Johnson is a British screenwriter best known for co-writing the 2009 film adaptation of Sherlock Holmes.
- 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_69d85a06450081909c5a14ea9851a15e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0059f69a881909929a037a0eef702 |
completed | April 15, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feb7f4abd08190b47c9daff2921919 |
completed | May 9, 2026, 4:28 a.m. |
Created at: April 10, 2026, 3:06 a.m.