Triple
T23011803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sport Club do Recife |
E572924
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
Sport
Sport is a Brazilian football club based in Recife, Pernambuco, known for its passionate fanbase and traditional red-and-black colors.
|
E1566911
|
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: Sport | Statement: [Sport Club do Recife, shortName, Sport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sport Context triple: [Sport Club do Recife, shortName, Sport]
-
A.
Sport
Sport is the nickname of Joseph "Sport" Sullivan, a notable early 20th-century American gambler and bookmaker associated with the 1919 Black Sox baseball scandal.
-
B.
Sports
"Sports" is a comedy track by George Carlin featured on his stand-up album "Playin' with Your Head."
-
C.
Sports
Sports is the 1983 breakthrough studio album by American rock band Huey Lewis and the News, known for its polished pop-rock sound and multiple hit singles.
-
D.
Esportes
Esportes is the sports section of the Brazilian newspaper O Globo, covering national and international sporting events, teams, and athletes.
-
E.
Sporting
Sporting is a Spanish professional football club based in Gijón, Asturias, known for its passionate fan base and history in La Liga.
- 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: Sport Triple: [Sport Club do Recife, shortName, Sport]
Generated description
Sport is a Brazilian football club based in Recife, Pernambuco, known for its passionate fanbase and traditional red-and-black colors.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sport Target entity description: Sport is a Brazilian football club based in Recife, Pernambuco, known for its passionate fanbase and traditional red-and-black colors.
-
A.
Sport
Sport is the nickname of Joseph "Sport" Sullivan, a notable early 20th-century American gambler and bookmaker associated with the 1919 Black Sox baseball scandal.
-
B.
Sports
"Sports" is a comedy track by George Carlin featured on his stand-up album "Playin' with Your Head."
-
C.
Sports
Sports is the 1983 breakthrough studio album by American rock band Huey Lewis and the News, known for its polished pop-rock sound and multiple hit singles.
-
D.
Esportes
Esportes is the sports section of the Brazilian newspaper O Globo, covering national and international sporting events, teams, and athletes.
-
E.
Sporting
Sporting is a Spanish professional football club based in Gijón, Asturias, known for its passionate fan base and history in La Liga.
- 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_69e245b764cc8190a51be76f1d9611e1 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f183e202a481908d7a2f00a12229a0 |
completed | April 29, 2026, 4:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bf2a65a10819087b5954853a95c65 |
completed | May 19, 2026, 5:18 a.m. |
| NEDg | Description generation | batch_6a0bfbc5b19c8190aed3f1199410b996 |
completed | May 19, 2026, 5:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0bfccedf2c8190833df43ea2c294ca |
completed | May 19, 2026, 6:01 a.m. |
Created at: April 17, 2026, 3:51 p.m.