Triple
T20405685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Octavio |
E500461
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Ottavio |
—
|
NE NERFINISHED |
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: Ottavio | Statement: [Octavio, hasVariant, Ottavio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ottavio Context triple: [Octavio, hasVariant, Ottavio]
-
A.
Ottavio
chosen
Ottavio is an Italian given name historically borne by notable figures such as Renaissance nobles and churchmen, including members of the Farnese family.
-
B.
Ludovico
Ludovico is an Italian given name, historically borne by various notable figures in art, music, and nobility.
-
C.
Pietro Antonio
Pietro Antonio is an Italian individual historically known under the full name Pietro Antonio di Vincenzo Stiattesi.
-
D.
Francesco
Francesco is a masculine given name of Italian origin, derived from the Latin Franciscus and commonly associated with figures such as Saint Francis of Assisi.
-
E.
Francesco
Francesco is the given name of Italian actor Franco Nero, renowned for his iconic role in the Spaghetti Western film "Django."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4a81bec8190b69adfdc1336a015 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67992cfb88190ae49a1723e6667a1 |
completed | April 20, 2026, 7:08 p.m. |
Created at: April 16, 2026, 11:29 a.m.