Triple
T15390744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Betty Suarez |
E368036
|
entity |
| Predicate | createdBy |
P806
|
FINISHED |
| Object | Silvio Horta |
E1010418
|
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: Silvio Horta | Statement: [Betty Suarez, createdBy, Silvio Horta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Silvio Horta Context triple: [Betty Suarez, createdBy, Silvio Horta]
-
A.
Silvio Horta
chosen
Silvio Horta was an American television writer and producer best known for developing and showrunning the hit dramedy series "Ugly Betty."
-
B.
Luciano Cardoso
Luciano Cardoso is one of the children of former Brazilian president and sociologist Fernando Henrique Cardoso.
-
C.
Ernesto Melo Antunes
Ernesto Melo Antunes was a Portuguese military officer, intellectual, and politician who played a key ideological and diplomatic role in the Carnation Revolution and the country’s transition to democracy.
-
D.
Costa Pinheiro
Costa Pinheiro was a Portuguese artist known for his contributions to contemporary painting and public art installations.
-
E.
Tulio Monteiro
Tulio Monteiro is a character in the animated film "Rio," known as the kind-hearted ornithologist who helps protect rare birds.
- 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_69d85a1551a08190ba2caea7cd51c639 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e7727a081908eff45bbc1633c8a |
completed | April 16, 2026, 1:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff134e37d881909f373b90a99fc067 |
completed | May 9, 2026, 10:58 a.m. |
Created at: April 10, 2026, 3:19 a.m.