Triple
T12768298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | W.E. (film) |
E305180
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Elena Ruiz |
E427346
|
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: Elena Ruiz | Statement: [W.E. (film), editedBy, Elena Ruiz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elena Ruiz Context triple: [W.E. (film), editedBy, Elena Ruiz]
-
A.
Elena Ruiz
chosen
Elena Ruiz is a film editor best known for her work on the acclaimed Spanish horror film "The Orphanage."
-
B.
Elena Alvarez
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).
-
C.
Elena García
Elena García is a common Spanish personal name shared by multiple notable individuals across fields such as science, arts, and public life.
-
D.
Elena Rivera
Elena Rivera is a member of the Rivera family lineage in Disney-Pixar’s film "Coco," descended from the matriarch Mamá Imelda.
-
E.
Elena Flores
Elena Flores is a Spanish politician who succeeded Marta Fernández Miranda in public office.
- 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_69d7bdf2b43c819098ae5aa68e61ea58 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96df3b2f88190b37b696400178795 |
completed | April 10, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f76b96f72881909090691e99bb2425 |
completed | May 3, 2026, 3:36 p.m. |
Created at: April 9, 2026, 5:28 p.m.