Triple
T15121805
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ghost (Justin Bieber song) |
E361188
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Jordan K. Johnson |
E1107368
|
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: Jordan K. Johnson | Statement: [Ghost (Justin Bieber song), writer, Jordan K. Johnson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jordan K. Johnson Context triple: [Ghost (Justin Bieber song), writer, Jordan K. Johnson]
-
A.
Jordan K. Johnson
chosen
Jordan K. Johnson is a music producer known for his work on contemporary pop and electronic tracks.
-
B.
Kay Johnson
Kay Johnson is the mother of American actor and activist James Cromwell.
-
C.
Aaron Perry Johnson
Aaron Perry Johnson, better known as Aaron Taylor-Johnson, is an English actor recognized for roles in films such as "Kick-Ass," "Avengers: Age of Ultron," and "Nocturnal Animals."
-
D.
Matthew Jensen
Matthew Jensen is a cinematographer best known for his work on major films such as the 2017 superhero movie "Wonder Woman."
-
E.
Cole Johnson
Cole Johnson is the young protagonist of the horror-comedy film "The Babysitter," whose seemingly ordinary night at home spirals into a violent and bizarre fight for survival.
- 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_69fed321d6108190a30b32f176e6d4dc |
completed | May 9, 2026, 6:24 a.m. |
Created at: April 10, 2026, 3:06 a.m.