Triple
T12303617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NC Courage |
E293294
|
entity |
| Predicate | notablePlayer |
P304
|
FINISHED |
| Object | Debinha |
E83521
|
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: Debinha | Statement: [NC Courage, notablePlayer, Debinha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Debinha Context triple: [NC Courage, notablePlayer, Debinha]
-
A.
Debinha
chosen
Debinha is a Brazilian professional footballer renowned as one of the top attacking midfielders/forwards in women’s soccer, starring for both the Brazil national team and in the National Women’s Soccer League.
-
B.
Djanira
Djanira was a prominent Brazilian modernist painter known for her vivid depictions of everyday life, religious themes, and popular culture.
-
C.
Talita
Talita is a central character in Julio Cortázar’s novel "Rayuela" ("Hopscotch"), known for her enigmatic presence and complex relationships within the bohemian Parisian and Buenos Aires circles depicted in the story.
-
D.
Martita
Martita is a Spanish affectionate diminutive form of the given name Marta, often used to express endearment or familiarity.
-
E.
Dida
Dida is a Brazilian former professional goalkeeper best known for his time at AC Milan, where he was regarded as one of the world’s top keepers in the early 2000s.
- 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_69d6ab6a2b50819082f6aedd32ed608a |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93edca2648190987eef19599e340c |
completed | April 10, 2026, 6:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e7f8fd08190bdef3bb761d53f97 |
completed | May 2, 2026, 3:55 p.m. |
Created at: April 8, 2026, 9:53 p.m.