Triple
T21712530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | João Havelange |
E535940
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Havelange |
—
|
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: Havelange | Statement: [João Havelange, familyName, Havelange]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Havelange Context triple: [João Havelange, familyName, Havelange]
-
A.
Havelange
Havelange is a rural municipality in the province of Namur in Wallonia, Belgium, known for its agricultural landscapes and small villages.
-
B.
João Havelange
chosen
João Havelange was a Brazilian sports administrator who served as the long-time president of FIFA and played a major role in globalizing and commercializing world football.
-
C.
Johann Rogge
Johann Rogge was a sculptor best known for creating the Neptune Fountain.
-
D.
Jacques Rogge
Jacques Rogge was a Belgian sports administrator and former Olympic sailor who served as the eighth president of the International Olympic Committee.
-
E.
Felix Nobis
Felix Nobis is an Australian actor and writer known for his work in theatre, television, and performance of classical and contemporary texts.
- 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_69e0c46c6dd88190a595375fa6ebd701 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efb53573a08190ad73576d27e8094f |
completed | April 27, 2026, 7:12 p.m. |
Created at: April 16, 2026, 6:46 p.m.