Triple
T10264680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dutchman |
E240682
|
entity |
| Predicate | antagonist |
P4675
|
FINISHED |
| Object | Lula |
E250057
|
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: Lula | Statement: [Dutchman, antagonist, Lula]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lula Context triple: [Dutchman, antagonist, Lula]
-
A.
Pedro Rousseff
Pedro Rousseff is the son of former Brazilian president Dilma Rousseff.
-
B.
Luiz Inácio Lula da Silva (as President of Brazil)
chosen
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.
-
C.
Dilma Rousseff
Dilma Rousseff is a Brazilian economist and politician who served as the 36th president of Brazil and the country’s first female head of state.
-
D.
Paulo Henrique Cardoso
Paulo Henrique Cardoso is a Brazilian academic and public figure best known as the son of former Brazilian president and sociologist Fernando Henrique Cardoso.
-
E.
Pedro Malan
Pedro Malan is a Brazilian economist and former finance minister known for his central role in stabilizing Brazil’s economy during the 1990s.
- 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_69d381a94c1881908fc38fc263d9b9c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d25e68fc8190b46699d2266c0505 |
completed | April 7, 2026, 9:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71ce5ac10819092c287bc435ae010 |
completed | April 9, 2026, 3:28 a.m. |
Created at: April 6, 2026, 11:33 a.m.