Triple
T1686434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mikhail |
E36451
|
entity |
| Predicate | equivalentName |
P6530
|
FINISHED |
| Object | Michele |
E124474
|
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: Michele | Statement: [Mikhail, equivalentName, Michele]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michele Context triple: [Mikhail, equivalentName, Michele]
-
A.
Michele
chosen
Michele is a given name used as a variant of Michael in various languages and cultures.
-
B.
Rocco
Rocco is a Brazilian publishing house known for releasing major international bestsellers, including works like Paulo Coelho’s "The Alchemist."
-
C.
Riggo
Riggo is the nickname of John Riggins, a Hall of Fame NFL running back best known for his powerful rushing style with the Washington Redskins.
-
D.
Vincenzo
Vincenzo is the Italian given name equivalent to Vincent, commonly used in Italy and among Italian-speaking communities.
-
E.
Paolo
Paolo is the Italian form of the given name Paul, commonly used in Italy and other Italian-speaking communities.
- 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_69a886151508819084fa7f1ce6e05577 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa6293c368819094ab0f615e418647 |
completed | March 6, 2026, 5:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae0300207481908c8b91b83b2575bc |
completed | March 8, 2026, 11:15 p.m. |
Created at: March 4, 2026, 7:29 p.m.