Triple
T15721287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gabriele |
E381098
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Gabriela |
E1083126
|
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: Gabriela | Statement: [Gabriele, hasVariant, Gabriela]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gabriela Context triple: [Gabriele, hasVariant, Gabriela]
-
A.
Gabriela
chosen
Gabriela is a Brazilian romantic drama film directed by Bruno Barreto, adapted from Jorge Amado’s novel about a free-spirited migrant woman who transforms life in a small coastal town.
-
B.
Gabriela
Gabriela is a key character in Paulo Coelho’s novel "The Winner Stands Alone," representing the struggles and aspirations of an ambitious actress navigating the superficial world of fame and celebrity.
-
C.
Graciela
Graciela is a feminine given name of Spanish origin, often considered a variant of Graziella and related to the concept of grace.
-
D.
Marita
Marita is a feminine given name commonly used as a diminutive or affectionate form of the name Marie in various European languages.
-
E.
Rosita
Rosita is a companion character who appears alongside the Doctor in the "Doctor Who" special episode "The Next Doctor."
- 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_69d86d9bf930819082b30cf6d169297c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04fb0b51081908e652ec4992296fa |
completed | April 16, 2026, 2:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff87657528819098880c84f7cb1610 |
completed | May 9, 2026, 7:13 p.m. |
Created at: April 10, 2026, 4:45 a.m.