Triple
T21471069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sepp Blatter |
E529733
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Blatter |
—
|
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: Blatter | Statement: [Sepp Blatter, familyName, Blatter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blatter Context triple: [Sepp Blatter, familyName, Blatter]
-
A.
Sepp Blatter
Sepp Blatter is a Swiss football administrator best known for serving as the long-time and controversial president of FIFA.
-
B.
Marco Blatter
chosen
Marco Blatter is the brother of former FIFA president Sepp Blatter and a member of the Blatter family from Switzerland.
-
C.
Laurent Platini
Laurent Platini is the son of legendary French footballer and former UEFA president Michel Platini.
-
D.
Gianni Infantino
Gianni Infantino is a Swiss-Italian football administrator who serves as the president of FIFA, the global governing body of soccer.
-
E.
João Havelange
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.
- 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_69e0c459acb481909bb6ee452a0045c7 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea13adfc819093324ae6fe66c3fd |
completed | April 23, 2026, 9:44 a.m. |
Created at: April 16, 2026, 6:18 p.m.