Triple
T5095363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andrea Bocelli |
E114851
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Bocelli |
E114851
|
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: Bocelli | Statement: [Andrea Bocelli, familyName, Bocelli]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bocelli Context triple: [Andrea Bocelli, familyName, Bocelli]
-
A.
Andrea Bocelli
chosen
Andrea Bocelli is an Italian tenor renowned worldwide for his powerful yet delicate voice and crossover success in both classical and pop music.
-
B.
Alice Pavarotti
Alice Pavarotti is one of the daughters of legendary Italian operatic tenor Luciano Pavarotti.
-
C.
Roberto Alagna
Roberto Alagna is a renowned French-Italian operatic tenor celebrated for his passionate performances in major opera houses worldwide.
-
D.
Luciano Pavarotti
Luciano Pavarotti was a world-renowned Italian operatic tenor celebrated for his powerful, expressive voice and iconic performances in roles such as Calaf in Puccini's "Turandot."
-
E.
Sergio Franchi
Sergio Franchi was an Italian-born tenor and popular singer who became a prominent concert, recording, and television performer in the United States during the 1960s and 1970s.
- 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_69bd443fc49c819089629c00e311310c |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7563ad608190879a26a0bf07c3f6 |
completed | March 20, 2026, 4:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beef9de9c88190b06c5076e5eabe3e |
completed | March 21, 2026, 7:21 p.m. |
Created at: March 20, 2026, 1:40 p.m.