Triple
T1521186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xanana Gusmão |
E32230
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Emília Baptista |
E32230
|
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: Emília Baptista | Statement: [Xanana Gusmão, spouse, Emília Baptista]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emília Baptista Context triple: [Xanana Gusmão, spouse, Emília Baptista]
-
A.
Emília Baptista (former)
chosen
Emília Baptista is the former wife of East Timorese independence leader and politician Xanana Gusmão.
-
B.
Lygia Pape
Lygia Pape was a pioneering Brazilian visual artist and key figure in the Neo-Concrete movement, known for her innovative work in abstraction, participatory art, and experimental film.
-
C.
Luisa
Luisa is a feminine given name used in various languages, particularly Romance languages, as a form of the name Louise.
-
D.
María dos Prazeres
María dos Prazeres is a short story by Gabriel García Márquez that follows an aging prostitute in Barcelona who meticulously prepares for her own death after dreaming of it.
-
E.
Hortense Fiquet
Hortense Fiquet was a French model best known as the wife and frequent portrait subject of the painter Paul Cézanne.
- 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_69a885e9b0ac819093a9806ad0efc82c |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a907f071848190a5fb8fa1b97ef4de |
completed | March 5, 2026, 4:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad294f9e2481909f1d685d7f083c6a |
completed | March 8, 2026, 7:46 a.m. |
Created at: March 4, 2026, 7:26 p.m.