Triple
T12066672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yolanda Andrade |
E287313
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Andrade |
E507566
|
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: Andrade | Statement: [Yolanda Andrade, familyName, Andrade]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andrade Context triple: [Yolanda Andrade, familyName, Andrade]
-
A.
Andrade
chosen
Andrade is a common Portuguese and Spanish surname borne by numerous notable figures across fields such as sports, politics, and the arts.
-
B.
Heitor
Heitor is the given name of the renowned Brazilian composer Heitor Villa-Lobos, a key figure in 20th-century classical music.
-
C.
Tadeu
Tadeu is a given name, primarily used in Portuguese-speaking countries, that is a variant of the name Tadeusz.
-
D.
Estrada
Estrada is a Filipino surname most prominently associated with Joseph Estrada, a former movie actor who became the 13th President of the Philippines.
-
E.
Adalberto
Adalberto is a masculine given name of Germanic origin, commonly used in Romance-language countries as a variant of Albert or Alberto.
- 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_69d6ab4846e081908ee7bbd66a6d3459 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d904423dc08190a47194422255c62e |
completed | April 10, 2026, 2:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60a66711481909fe0b0d3b2934601 |
completed | May 2, 2026, 2:29 p.m. |
Created at: April 8, 2026, 9:48 p.m.