Triple
T9941175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Martín |
E194083
|
entity |
| Predicate | relatedName |
P3889
|
FINISHED |
| Object | Martino |
E636943
|
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: Martino | Statement: [Martín, relatedName, Martino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Martino Context triple: [Martín, relatedName, Martino]
-
A.
Martino
chosen
Martino is a surname most prominently associated with Argentine football manager and former player Gerardo "Tata" Martino.
-
B.
Ambrogio
Ambrogio is an Italian given name, historically borne by notable figures such as generals, artists, and saints.
-
C.
Sebastiano
Sebastiano is an Italian given name, commonly used as the Italian form of Sebastian.
-
D.
Giacinto
Giacinto is an Italian masculine given name of Latin origin, traditionally associated with the name Hyacinth.
-
E.
Girolamo
Girolamo is the middle name of the famed 18th-century Venetian adventurer, writer, and libertine Giacomo Casanova.
- 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_69ca82e409348190a393777356b80a2a |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb610905c81909d669265c92021a5 |
completed | April 2, 2026, 12:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d23d5095e08190a34ff73ab7bcf8a6 |
completed | April 5, 2026, 10:45 a.m. |
Created at: March 30, 2026, 8:44 p.m.