Triple
T6097273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Renato Dulbecco |
E135907
|
entity |
| Predicate | doctoralAdvisor |
P167
|
FINISHED |
| Object | Giuseppe Levi |
E393789
|
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: Giuseppe Levi | Statement: [Renato Dulbecco, doctoralAdvisor, Giuseppe Levi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Giuseppe Levi Context triple: [Renato Dulbecco, doctoralAdvisor, Giuseppe Levi]
-
A.
Giuseppe Levi
chosen
Giuseppe Levi was an Italian physician and pioneering histologist known for his influential work in cell biology and for mentoring several future Nobel laureates.
-
B.
Giuseppe Adami
Giuseppe Adami was an Italian playwright and librettist best known for his collaborations with composer Giacomo Puccini on several of his operas.
-
C.
Giuseppe Boffa
Giuseppe Boffa was an Italian communist politician, journalist, and historian known for his influential writings on Soviet and Italian political history.
-
D.
Guido Carlesi
Guido Carlesi is an Italian former professional road cyclist known for his strong stage race performances in the early 1960s.
-
E.
Lamberto Zannier
Lamberto Zannier is an Italian diplomat and former OSCE Secretary General known for his work in conflict prevention, minority rights, and European security affairs.
- 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_69c0087cd3c48190b459848c72d84eb1 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05a987ce081908cbe22940f31ee2f |
completed | March 22, 2026, 9:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1254365708190b8feb95dfb2b730d |
completed | March 23, 2026, 11:34 a.m. |
Created at: March 22, 2026, 4:12 p.m.