Triple
T22573998
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Win It All |
E544345
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Aislinn Derbez |
—
|
NE NERFINISHED |
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: Aislinn Derbez | Statement: [Win It All, starring, Aislinn Derbez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aislinn Derbez Context triple: [Win It All, starring, Aislinn Derbez]
-
A.
Aislinn Derbez
chosen
Aislinn Derbez is a Mexican actress and model known for her work in film and television, as well as for being part of the prominent Derbez entertainment family.
-
B.
Aitana Derbez
Aitana Derbez is the youngest daughter of Mexican actor and comedian Eugenio Derbez and a member of the prominent Derbez entertainment family.
-
C.
Chimene Diaz
Chimene Diaz is the older sister of American actress Cameron Diaz and is a non-celebrity who has largely stayed out of the public spotlight.
-
D.
Lorena Bernal
Lorena Bernal is an Argentine-born Spanish actress, model, and former Miss Spain who has also worked as a television presenter.
-
E.
Xochitl Gomez
Xochitl Gomez is an American actress best known for playing the multiverse-traveling teen hero America Chavez in the Marvel Cinematic Universe.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e30d05481909df915354c89f0d6 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f15fea683c81908fbf9f171eed3341 |
completed | April 29, 2026, 1:33 a.m. |
Created at: April 16, 2026, 8:53 p.m.