Triple
T15118347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lazio |
E361099
|
entity |
| Predicate | president |
P8
|
FINISHED |
| Object | Claudio Lotito |
E1138134
|
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: Claudio Lotito | Statement: [Lazio, president, Claudio Lotito]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Claudio Lotito Context triple: [Lazio, president, Claudio Lotito]
-
A.
Claudio Lotito
chosen
Claudio Lotito is an Italian entrepreneur and football executive best known as the long-serving president and controlling figure of Serie A club Lazio.
-
B.
Massimo Cellino
Massimo Cellino is an Italian businessman and football executive best known for owning and leading several clubs, including Cagliari, Leeds United, and Brescia.
-
C.
Gianluigi Braschi
Gianluigi Braschi was an Italian film producer best known for his collaborations with Roberto Benigni, including the acclaimed film "Life Is Beautiful."
-
D.
Giampaolo Pozzo
Giampaolo Pozzo is an Italian businessman best known as the longtime owner of Udinese Calcio and a prominent figure in European football club management.
-
E.
Maurizio Marchetti
Maurizio Marchetti is an Italian politician known for his roles in regional and national political institutions.
- 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_69d85a0491ec8190830960be8fafb994 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0059ca9048190b742e70e818ee64f |
completed | April 15, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69febfe3fe0081909d9d3a293373254b |
completed | May 9, 2026, 5:02 a.m. |
Created at: April 10, 2026, 3:06 a.m.