Triple
T6794259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giancarlo Peris |
E156012
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Peris |
E262803
|
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: Peris | Statement: [Giancarlo Peris, familyName, Peris]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peris Context triple: [Giancarlo Peris, familyName, Peris]
-
A.
Peris
chosen
Peris is a surname and given name found in various cultures, often considered a variant of the name Peres.
-
B.
Arsacia
Arsacia is an alternative name historically used for the city of Rayy (near modern-day Tehran) in ancient Persia.
-
C.
Nauta
Nauta is a small river port town in Peru’s Loreto region, serving as a key gateway for tourism and access to the Pacaya-Samiria National Reserve in the Amazon rainforest.
-
D.
Leonida
Leonida is an Italian given name, historically used for both men and women and derived from the ancient Greek name Leonidas.
-
E.
Peraia
Peraia is a locality in Greece known historically as the place where Ecuadorian statesman and first president Juan José Flores died.
- 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_69c6881844448190a65822d9b39d7f88 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d2c59648819081736d27d52d957f |
completed | March 27, 2026, 6:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c71a90dfb081909120e8502b26a88b |
completed | March 28, 2026, 12:02 a.m. |
Created at: March 27, 2026, 2:15 p.m.