Triple
T21012744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lydia Riera |
E517590
|
entity |
| Predicate | grandchild |
P5572
|
FINISHED |
| Object | Elena Alvarez |
—
|
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: Elena Alvarez | Statement: [Lydia Riera, grandchild, Elena Alvarez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elena Alvarez Context triple: [Lydia Riera, grandchild, Elena Alvarez]
-
A.
Elena Alvarez
chosen
Elena Alvarez is a socially conscious, feminist teenage daughter in the Cuban-American family at the heart of the sitcom "One Day at a Time" (2017).
-
B.
Elena Ruiz
Elena Ruiz is a film editor best known for her work on the acclaimed Spanish horror film "The Orphanage."
-
C.
Elena Rivera
Elena Rivera is a member of the Rivera family lineage in Disney-Pixar’s film "Coco," descended from the matriarch Mamá Imelda.
-
D.
Elena Delgado
Elena Delgado is a key FBI missing-persons agent on the television drama "Without a Trace," known for her dedication, empathy, and complex personal backstory.
-
E.
Elena Márquez
Elena Márquez is Dora’s adventurous and resourceful mother in the live-action film "Dora and the Lost City of Gold."
- 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_69e0b50192308190a284fcc89dd23a49 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc41d57881908b9ab17d1844a8d0 |
completed | April 21, 2026, 4:25 a.m. |
Created at: April 16, 2026, 1:53 p.m.