Triple
T1960093
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Filipa Moniz Perestrelo |
E42364
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Filipa |
E42364
|
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: Filipa | Statement: [Filipa Moniz Perestrelo, givenName, Filipa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Filipa Context triple: [Filipa Moniz Perestrelo, givenName, Filipa]
-
A.
Filipa Moniz Perestrelo
chosen
Filipa Moniz Perestrelo was a Portuguese noblewoman from a prominent maritime family who became the wife of explorer Christopher Columbus.
-
B.
Madalena
Madalena is a neighborhood in the Brazilian city of Recife, known for its urban character and local commerce.
-
C.
Lucia Moniz
Lucia Moniz is a Portuguese actress and singer best known internationally for her role in the film "Love Actually."
-
D.
María
María is a key character in Ernest Hemingway's novel "For Whom the Bell Tolls," known as a young Spanish woman and love interest of the protagonist amid the Spanish Civil War.
-
E.
Francisca
Francisca is a feminine given name, used in various European and Latin American cultures, that is cognate with the English name Frances.
- 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_69a8870eea088190a38781990812a9bc |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb37f737881908130bb828affcaa2 |
completed | March 7, 2026, 5:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae031ef4e48190af93dfd6f33184d3 |
completed | March 8, 2026, 11:15 p.m. |
Created at: March 4, 2026, 7:36 p.m.