Triple
T15427150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeremy Bieber |
E369540
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Justin Bieber |
E73608
|
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: Justin Bieber | Statement: [Jeremy Bieber, child, Justin Bieber]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Justin Bieber Context triple: [Jeremy Bieber, child, Justin Bieber]
-
A.
Justin Bieber
chosen
Justin Bieber is a Canadian pop singer and global superstar who rose to fame as a teenager with hits like "Baby" and has since become one of the best-selling music artists of his generation.
-
B.
Jeremy Bieber
Jeremy Bieber is a Canadian man best known as the father of pop singer Justin Bieber.
-
C.
Bieber
Bieber is a small unincorporated rural community in northeastern California’s Lassen County.
-
D.
Rick Bieber
Rick Bieber is an American film producer and director known for his work on genre films and thrillers, including the cult psychological horror movie "Flatliners."
-
E.
Hailey Bieber
Hailey Bieber is an American model and media personality known for her high-profile fashion work and marriage to pop star Justin Bieber.
- 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_69d85a1849f48190bf898068b2806fae |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03ec1fb288190a3625b8e4f487dd1 |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff21a18c548190b8591776828c1793 |
completed | May 9, 2026, 11:59 a.m. |
Created at: April 10, 2026, 3:20 a.m.