Triple
T13992789
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chabeli Iglesias |
E336622
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Chabeli Iglesias |
E336622
|
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: Chabeli Iglesias | Statement: [Chabeli Iglesias, name, Chabeli Iglesias]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chabeli Iglesias Context triple: [Chabeli Iglesias, name, Chabeli Iglesias]
-
A.
Chabeli Iglesias
chosen
Chabeli Iglesias is a Spanish television host and journalist, best known as a member of the prominent Iglesias entertainment family.
-
B.
Lupe Ontiveros
Lupe Ontiveros was an American character actress known for her powerful portrayals of working-class Latina women in film, television, and theater.
-
C.
Lupita Tovar
Lupita Tovar was a Mexican-American actress best known for her roles in early Spanish-language films, including the 1931 Spanish-language version of "Drácula."
-
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.
Aitana Sánchez-Gijón
Aitana Sánchez-Gijón is a Spanish-Italian actress known for her work in both European and international cinema, including prominent roles in psychological thrillers and literary adaptations.
- 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_69d81c639e808190a0e4b4f3d31c6a59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2eb3b5d881909f15a1e08bb202f3 |
completed | April 14, 2026, 12:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbac98ca448190b585ef69a4e4bfca |
completed | May 6, 2026, 9:03 p.m. |
Created at: April 9, 2026, 10:19 p.m.