Triple
T15122570
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hailey Baldwin |
E361204
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Hailey Bieber |
E370817
|
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: Hailey Bieber | Statement: [Hailey Baldwin, alsoKnownAs, Hailey Bieber]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hailey Bieber Context triple: [Hailey Baldwin, alsoKnownAs, Hailey Bieber]
-
A.
Hailey Bieber
chosen
Hailey Bieber is an American model and media personality known for her high-profile fashion work and marriage to pop star Justin Bieber.
-
B.
Justin Bieber
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.
-
C.
Jeremy Bieber
Jeremy Bieber is a Canadian man best known as the father of pop singer Justin Bieber.
-
D.
Selena Gomez
Selena Gomez is an American singer, actress, and producer known for her breakout role on Disney Channel and a successful pop music career with numerous chart-topping hits.
-
E.
Miley Cyrus
Miley Cyrus is an American singer, songwriter, and actress known for her distinctive raspy voice, genre-crossing pop hits, and evolution from Disney Channel star to provocative, boundary-pushing performer.
- 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_69feef64dbfc819098dac50500673ed4 |
completed | May 9, 2026, 8:25 a.m. |
Created at: April 10, 2026, 3:06 a.m.