Triple
T16656550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VII Olympic Winter Games |
E404745
|
entity |
| Predicate | openedBy |
P421
|
FINISHED |
| Object | Giovanni Gronchi |
—
|
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: Giovanni Gronchi | Statement: [VII Olympic Winter Games, openedBy, Giovanni Gronchi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Giovanni Gronchi Context triple: [VII Olympic Winter Games, openedBy, Giovanni Gronchi]
-
A.
Giovanni Gronchi
chosen
Giovanni Gronchi was an Italian politician who served as the third President of the Italian Republic from 1955 to 1962.
-
B.
Renato Dall’Ara
Renato Dall’Ara was a prominent Italian football executive best known for his long-time presidency of Bologna FC 1909, during which the club enjoyed significant success.
-
C.
Ettore Fagiuoli
Ettore Fagiuoli was an Italian architect known for his early 20th-century stadium and civic building designs.
-
D.
Tebaldo Checchi
Tebaldo Checchi was an Italian actor best known as the husband of renowned stage actress Eleonora Duse.
-
E.
Ruggero Bonomi
Ruggero Bonomi was an Italian military officer best known for leading Italian air operations in support of Franco’s forces during the Spanish Civil War.
- 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_69d8838b5fbc81908c6575c132b82e80 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37bfb2b308190bf3559df9fbb126f |
completed | April 18, 2026, 12:41 p.m. |
Created at: April 10, 2026, 5:18 a.m.