Triple
T15390614
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | America Ferrera |
E368033
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Ferrera |
E368033
|
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: Ferrera | Statement: [America Ferrera, familyName, Ferrera]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ferrera Context triple: [America Ferrera, familyName, Ferrera]
-
A.
Ferrera
chosen
Ferrera is a Spanish-origin surname most prominently associated with American actress and producer America Ferrera.
-
B.
Elicio
Elicio is a shepherd and one of the principal pastoral protagonists in Miguel de Cervantes’ early novel "La Galatea."
-
C.
Gormezano
Gormezano is the original Sephardic Jewish family surname of American singer Eydie Gormé, reflecting her Spanish-Jewish heritage.
-
D.
Blasco
Blasco is a masculine given name of Spanish origin, historically borne by notable figures such as colonial administrators and writers.
-
E.
Renaico
Renaico is a small town and commune in southern Chile’s Araucanía Region, known for its agricultural activities and location near the Vergara River.
- 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_69d85a1551a08190ba2caea7cd51c639 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e7727a081908eff45bbc1633c8a |
completed | April 16, 2026, 1:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff219a285481909eef3ec6e523573c |
completed | May 9, 2026, 11:59 a.m. |
Created at: April 10, 2026, 3:19 a.m.