Triple
T7982996
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joan Gamper |
E185618
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Joan Gamper |
E185618
|
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: Joan Gamper | Statement: [Joan Gamper, alsoKnownAs, Joan Gamper]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joan Gamper Context triple: [Joan Gamper, alsoKnownAs, Joan Gamper]
-
A.
Joan Gamper
chosen
Joan Gamper was a Swiss football pioneer and sports executive best known as the founder and early driving force behind FC Barcelona.
-
B.
Jules Rimet
Jules Rimet was a French football administrator best known as the long-serving FIFA president who founded the FIFA World Cup tournament.
-
C.
Luigi Bianchi
Luigi Bianchi was an Italian mathematician known for his influential work in differential geometry and the theory of Riemannian manifolds.
-
D.
Luigi Bianchi
Luigi Bianchi was an Italian figure notable for founding the Vatican City’s official newspaper, L'Osservatore Romano.
-
E.
Hércules Barsotti
Hércules Barsotti was a Brazilian artist known for his contributions to geometric abstraction and concrete art in the mid-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_69ca829a2cfc819083d591d58ec04075 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3c2a1aa881909c3cea280dff38f5 |
completed | March 31, 2026, 3:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe0e0b2748190930c22c6157d1b07 |
completed | March 31, 2026, 2:57 p.m. |
Created at: March 30, 2026, 5:15 p.m.