Triple
T22179278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gertrudis Gómez de Avellaneda |
E548126
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Dos mujeres |
—
|
NE NERFINISHED |
How this triple was built (3 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: Dos mujeres | Statement: [Gertrudis Gómez de Avellaneda, notableWork, Dos mujeres]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dos mujeres Context triple: [Gertrudis Gómez de Avellaneda, notableWork, Dos mujeres]
-
A.
Two Women
Two Women is a 1960 Italian war drama film directed by Vittorio De Sica, best known for Sophia Loren’s Oscar-winning performance as a mother struggling to protect her daughter during World War II.
-
B.
Two Women
Two Women is a Russian drama film directed by Vera Glagoleva, adapted from Ivan Turgenev’s play "A Month in the Country" and known for its period setting and emotional romantic entanglements.
-
C.
Three Women
"Three Women" is a 1924 silent drama film directed by Ernst Lubitsch, known for its exploration of romantic entanglements and social class in Jazz Age America.
-
D.
Three Women
Three Women is a 1921 Cubist-inspired painting by Fernand Léger that depicts three stylized female figures in a bold, mechanized, and brightly colored composition emblematic of his “machine aesthetic.”
-
E.
A Tale of Two Women
"A Tale of Two Women" is a song featured on Joni Mitchell’s acclaimed 1971 album "Blue."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dos mujeres Target entity description: "Dos mujeres" is a 19th-century novel by Cuban-Spanish writer Gertrudis Gómez de Avellaneda that explores love, honor, and the constrained roles of women within a patriarchal society.
-
A.
Two Women
Two Women is a 1960 Italian war drama film directed by Vittorio De Sica, best known for Sophia Loren’s Oscar-winning performance as a mother struggling to protect her daughter during World War II.
-
B.
Two Women
Two Women is a Russian drama film directed by Vera Glagoleva, adapted from Ivan Turgenev’s play "A Month in the Country" and known for its period setting and emotional romantic entanglements.
-
C.
Three Women
"Three Women" is a 1924 silent drama film directed by Ernst Lubitsch, known for its exploration of romantic entanglements and social class in Jazz Age America.
-
D.
Three Women
Three Women is a 1921 Cubist-inspired painting by Fernand Léger that depicts three stylized female figures in a bold, mechanized, and brightly colored composition emblematic of his “machine aesthetic.”
-
E.
A Tale of Two Women
"A Tale of Two Women" is a song featured on Joni Mitchell’s acclaimed 1971 album "Blue."
- F. None of above. chosen
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_69e11e3d53f88190a2b690e3f25bb062 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12aa3af308190bbddadfa3066f850 |
completed | April 28, 2026, 9:46 p.m. |
Created at: April 16, 2026, 8:34 p.m.