Triple
T20028142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Magui |
E495041
|
entity |
| Predicate | derivedFrom |
P909
|
FINISHED |
| Object | Margarida |
—
|
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: Margarida | Statement: [Magui, derivedFrom, Margarida]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Margarida Context triple: [Magui, derivedFrom, Margarida]
-
A.
Margarida
chosen
Margarida is a given name, commonly used in Portuguese and Catalan, that corresponds to the English name Margaret.
-
B.
Joaninha
Joaninha is a central female character in Eça de Queirós’s novel "A Cidade e as Serras," often remembered for her charm, sensitivity, and symbolic connection to the rural ideals of the story.
-
C.
Mari Brás
Mari Brás was a prominent Puerto Rican lawyer, socialist leader, and advocate for Puerto Rican independence.
-
D.
Luisa
Luisa is a feminine given name used in various languages, particularly Romance languages, as a form of the name Louise.
-
E.
Raimunda
Raimunda is the resilient and resourceful working-class mother portrayed by Penélope Cruz in Pedro Almodóvar’s film "Volver," around whom the story’s family drama and secrets revolve.
- 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_69da626bfd288190aa5d65098b6433ae |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6628f67e081909b9e69dfbe2127ce |
completed | April 20, 2026, 5:29 p.m. |
Created at: April 11, 2026, 3:35 p.m.