Triple
T3486015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Justin Bieber |
E73608
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | 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: Bieber | Statement: [Justin Bieber, familyName, Bieber]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bieber Context triple: [Justin Bieber, familyName, 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.
The Weeknd
The Weeknd is a Canadian singer, songwriter, and producer known for his dark, atmospheric R&B sound and globally successful hits like “Blinding Lights” and “Starboy.”
-
C.
Shawn Mendes
Shawn Mendes is a Canadian pop singer-songwriter and guitarist known for his chart-topping hits, soulful vocals, and massive global fanbase.
-
D.
Drake
Drake is a Canadian rapper, singer, and songwriter who became one of the most commercially successful and influential hip-hop and pop artists of the 21st century.
-
E.
Richard Zhang
Richard Zhang is a computer vision and machine learning researcher known for influential work in image synthesis, colorization, and generative models.
- 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_69ad85cca8d4819088494e9f3340fab5 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbb8f205c8190aa6f7484ebad14bb |
completed | March 8, 2026, 6:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b38bbbe7648190bde27a2a048ff18c |
completed | March 13, 2026, 3:59 a.m. |
Created at: March 8, 2026, 3:18 p.m.