Triple
T19858652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Federico García Lorca |
E477200
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Yerma |
—
|
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: Yerma | Statement: [Federico García Lorca, notableWork, Yerma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yerma Context triple: [Federico García Lorca, notableWork, Yerma]
-
A.
Yerma
chosen
Yerma is a tragic play by Spanish dramatist Federico García Lorca that explores themes of infertility, honor, and societal pressure in rural Spain.
-
B.
Soledad
"Soledad" is a reggaeton song by Puerto Rican artist Don Omar, known for its emotive lyrics and romantic, melancholic style.
-
C.
Soledad
Soledad is a small city in Monterey County, California, located in the agriculturally rich Salinas Valley.
-
D.
Soledad
Soledad is a populous municipality in northern Colombia, located in the metropolitan area of Barranquilla and known as an important industrial and residential center in the Caribbean region.
-
E.
Carmencita
Carmencita is a Spanish feminine given name, commonly used as an affectionate diminutive of Carmen.
- 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_69d8e51e7d948190aedbcd6c30361c39 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6586dbbf0819089e7157d416aeaaf |
completed | April 20, 2026, 4:46 p.m. |
Created at: April 10, 2026, 1:51 p.m.