Triple
T20302129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Urban Legend |
E505507
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Silvio Horta |
—
|
NE NERFINISHED |
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: [Urban Legend, writer, Silvio Horta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Silvio Horta Context triple: [Urban Legend, writer, 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.
Felipe Lacerda
Felipe Lacerda is a Brazilian film editor and filmmaker best known for his work on acclaimed documentaries, including the Rio de Janeiro hostage-crisis film "Bus 174."
-
C.
Luciano Cardoso
Luciano Cardoso is one of the children of former Brazilian president and sociologist Fernando Henrique Cardoso.
-
D.
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.
-
E.
Costa Pinheiro
Costa Pinheiro was a Portuguese artist known for his contributions to contemporary painting and public art installations.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4b8ab648190906e18538c250148 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6770d82b48190b21ce7c52ec6d5a0 |
completed | April 20, 2026, 6:57 p.m. |
Created at: April 16, 2026, 11:17 a.m.