Triple
T5875283
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Selena Gomez |
E130611
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object | Selena Marie Gomez |
E130611
|
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: Selena Marie Gomez | Statement: [Selena Gomez, birthName, Selena Marie Gomez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Selena Marie Gomez Context triple: [Selena Gomez, birthName, Selena Marie Gomez]
-
A.
Selena Gomez
chosen
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.
-
B.
Chabeli Iglesias
Chabeli Iglesias is a Spanish television host and journalist, best known as a member of the prominent Iglesias entertainment family.
-
C.
Demi Lovato
Demi Lovato is an American singer, songwriter, and actress known for her powerful vocals, pop hits, and advocacy for mental health awareness.
-
D.
Mayan Lopez
Mayan Lopez is an American actress and producer, best known for starring alongside her father in the NBC comedy series "Lopez vs Lopez."
-
E.
Vanessa Hudgens
Vanessa Hudgens is an American actress and singer best known for her breakout role in Disney's "High School Musical" franchise and subsequent work in film, television, and music.
- 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_69c0085523688190bfd487479ce819e6 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c035fc86308190851b282456bcd715 |
completed | March 22, 2026, 6:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0bfeb7b0881909ca26e2d8110edda |
completed | March 23, 2026, 4:22 a.m. |
Created at: March 22, 2026, 3:57 p.m.