Triple
T20305790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jan Howard |
E505605
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Lula |
—
|
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: Lula | Statement: [Jan Howard, givenName, Lula]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lula Context triple: [Jan Howard, givenName, Lula]
-
A.
Lula
chosen
Lula is a feminine given name, often used in English-speaking countries and sometimes as a diminutive of names like Louise or Tallulah.
-
B.
Lula Carvalho
Lula Carvalho is a Brazilian cinematographer known for his work on major studio films such as the 2014 reboot of Teenage Mutant Ninja Turtles.
-
C.
Pedro Rousseff
Pedro Rousseff is the son of former Brazilian president Dilma Rousseff.
-
D.
Marisa Letícia Lula da Silva
Marisa Letícia Lula da Silva was a Brazilian metalworker-turned-political figure and former First Lady of Brazil, known for her long partnership with President Luiz Inácio Lula da Silva and her role in the Workers’ Party’s early grassroots activism.
-
E.
Luiz Inácio Lula da Silva (as President of Brazil)
Luiz Inácio Lula da Silva is a Brazilian leftist politician and former union leader who served as President of Brazil in the 2000s, implementing social programs that significantly reduced poverty and expanded Brazil’s international profile.
- 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_69e6773f8f688190b616f972b9bbb28e |
completed | April 20, 2026, 6:58 p.m. |
Created at: April 16, 2026, 11:18 a.m.