Triple
T6729308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S.L. Benfica |
E153593
|
entity |
| Predicate | notablePlayer |
P304
|
FINISHED |
| Object |
Nené
Nené is a former Brazilian footballer best known as a prolific forward for S.L. Benfica during the 1970s and 1980s.
|
E615620
|
NE FINISHED |
How this triple was built (4 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: Nené | Statement: [S.L. Benfica, notablePlayer, Nené]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nené Context triple: [S.L. Benfica, notablePlayer, Nené]
-
A.
Irma Santos
Irma Santos is best known as the wife of influential Cuban-American businessman and anti-Castro activist Jorge Mas Canosa.
-
B.
Nena
Nena is a German pop singer and actress best known internationally for her 1983 hit song "99 Luftballons."
-
C.
Consuelo
Consuelo is a feminine given name of Spanish origin, historically associated with figures such as American socialite Consuelo Vanderbilt.
-
D.
Nenê
Nenê is a Brazilian professional basketball player and longtime NBA center known for his physical interior play and key contributions to both the Denver Nuggets and Washington Wizards.
-
E.
Nadine
"Nadine" is a classic 1964 rock and roll song by Chuck Berry, known for its vivid storytelling and driving guitar riff.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Nené Triple: [S.L. Benfica, notablePlayer, Nené]
Generated description
Nené is a former Brazilian footballer best known as a prolific forward for S.L. Benfica during the 1970s and 1980s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nené Target entity description: Nené is a former Brazilian footballer best known as a prolific forward for S.L. Benfica during the 1970s and 1980s.
-
A.
Irma Santos
Irma Santos is best known as the wife of influential Cuban-American businessman and anti-Castro activist Jorge Mas Canosa.
-
B.
Nena
Nena is a German pop singer and actress best known internationally for her 1983 hit song "99 Luftballons."
-
C.
Consuelo
Consuelo is a feminine given name of Spanish origin, historically associated with figures such as American socialite Consuelo Vanderbilt.
-
D.
Nenê
Nenê is a Brazilian professional basketball player and longtime NBA center known for his physical interior play and key contributions to both the Denver Nuggets and Washington Wizards.
-
E.
Nadine
"Nadine" is a classic 1964 rock and roll song by Chuck Berry, known for its vivid storytelling and driving guitar riff.
- F. None of above. chosen
Provenance (5 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. |
| NEDg | Description generation | batch_69c70c5fc9c88190ba499b0a9e7bcbc2 |
completed | March 27, 2026, 11:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c70d0fcbc08190b3a7d0de3c634a5f |
completed | March 27, 2026, 11:04 p.m. |
Created at: March 27, 2026, 2:08 p.m.