Triple
T19511003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Constancia y otras novelas para vírgenes |
E488150
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Constancia |
—
|
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: Constancia | Statement: [Constancia y otras novelas para vírgenes, hasPart, Constancia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Constancia Context triple: [Constancia y otras novelas para vírgenes, hasPart, Constancia]
-
A.
Constancia
chosen
Constancia is a feminine given name, used as a variant of Constance in various languages and cultures.
-
B.
Constanza
Constanza is a mountainous town in the Dominican Republic known for its cool climate, fertile valleys, and agricultural production.
-
C.
Clementina
Clementina is a feminine given name, often considered a variant of Clementine, used in various European and Latin American cultures.
-
D.
Genoveva
Genoveva is the tragic heroine of Robert Schumann’s only opera, a Romantic-era work based on medieval legend.
-
E.
Carmelina
Carmelina is a lesser-known Broadway musical with music by Burton Lane and lyrics by Alan Jay Lerner, loosely based on the film "Buona Sera, Mrs. Campbell."
- 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_69d8e8da8bec819081f400199491ccc3 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63516572c8190a8719c51fd3f7147 |
completed | April 20, 2026, 2:15 p.m. |
Created at: April 10, 2026, 1:40 p.m.