Triple
T6729179
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pelé |
E153591
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Nascimento |
E492302
|
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: Nascimento | Statement: [Pelé, familyName, Nascimento]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nascimento Context triple: [Pelé, familyName, Nascimento]
-
A.
Nascimento
chosen
Nascimento is the family name of Brazilian football legend Pelé, whose full name is Edson Arantes do Nascimento.
-
B.
Nacimiento
Nacimiento is a Chilean city in the Biobío Region, historically known for its colonial-era fortifications and its role in regional forestry and agriculture.
-
C.
Natal
Natal is a coastal city in northeastern Brazil known for its beaches, sand dunes, and role as a regional tourism and economic hub.
-
D.
Natal
Natal is a historical region in southeastern South Africa, centered on the port city of Durban and known for its colonial history and diverse cultural heritage.
-
E.
Nacio
Nacio is the given name of Nacio Herb Brown, an American composer best known for his popular songs and film music in the early 20th century.
- 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_69c6880bdd68819097de8b6099992682 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d15591c8819082620d194eba3e9d |
completed | March 27, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c70b00ba9c8190aaae2220972ff4f2 |
completed | March 27, 2026, 10:56 p.m. |
Created at: March 27, 2026, 2:08 p.m.