Triple
T18349139
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ferrante |
E439617
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object | Giraldona Carlino |
E439618
|
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: Giraldona Carlino | Statement: [Ferrante, mother, Giraldona Carlino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Giraldona Carlino Context triple: [Ferrante, mother, Giraldona Carlino]
-
A.
Giraldona Carlino
chosen
Giraldona Carlino was a Neapolitan noblewoman of the 15th century, known primarily as the mother of King Ferdinand I of Naples.
-
B.
Guido Caroli
Guido Caroli was an Italian speed skater best known for lighting the Olympic cauldron at the 1956 Winter Olympics in Cortina d'Ampezzo.
-
C.
Cencio Savelli
Cencio Savelli, later known as Pope Honorius III, was a 13th-century pope noted for supporting the Fifth Crusade and consolidating papal authority in Europe.
-
D.
Lorenzo De Stefano
Lorenzo De Stefano is a film editor best known for his work on the influential bodybuilding documentary "Pumping Iron."
-
E.
Guido Trento
Guido Trento was an actor known for his role in the silent film "Street Angel."
- 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_69d8b9175fec8190af865699b4e64d8c |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e514f66a4c8190a0ba53d3b349178a |
completed | April 19, 2026, 5:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03cc28b80c8190819b989478bb62bd |
completed | May 13, 2026, 12:56 a.m. |
Created at: April 10, 2026, 10:37 a.m.