Triple
T16656549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VII Olympic Winter Games |
E404745
|
entity |
| Predicate | torchLighter |
P12120
|
FINISHED |
| Object | Guido Caroli |
E407141
|
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: Guido Caroli | Statement: [VII Olympic Winter Games, torchLighter, Guido Caroli]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guido Caroli Context triple: [VII Olympic Winter Games, torchLighter, Guido Caroli]
-
A.
Guido Caroli
chosen
Guido Caroli was an Italian speed skater best known for lighting the Olympic cauldron at the 1956 Winter Olympics in Cortina d'Ampezzo.
-
B.
Guido Carlesi
Guido Carlesi is an Italian former professional road cyclist known for his strong stage race performances in the early 1960s.
-
C.
Guido Bruno
Guido Bruno was an early 20th-century Greenwich Village bohemian, editor, and publisher known for promoting avant-garde and controversial literature.
-
D.
Guido Trento
Guido Trento was an actor known for his role in the silent film "Street Angel."
-
E.
Carlo Rim
Carlo Rim was a French screenwriter and film director known for his work on mid-20th-century French cinema.
- 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_69d8838b5fbc81908c6575c132b82e80 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37bfb2b308190bf3559df9fbb126f |
completed | April 18, 2026, 12:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a009d2f7ad88190ba85a79154502841 |
completed | May 10, 2026, 2:58 p.m. |
Created at: April 10, 2026, 5:18 a.m.