Triple
T11942438
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | André Franco Montoro |
E284209
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Montoro |
E809016
|
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: Montoro | Statement: [André Franco Montoro, familyName, Montoro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Montoro Context triple: [André Franco Montoro, familyName, Montoro]
-
A.
Montoro
chosen
Montoro is a municipality in southern Italy’s Campania region, known for its agricultural traditions and location within the Province of Avellino.
-
B.
Montojo
Montojo is a Spanish surname most notably associated with Admiral Patricio Montojo y Pasarón, a commander in the Spanish–American War.
-
C.
Capurro
Capurro is the family surname of American actor and singer Alfred Drake, known for his leading roles in classic Broadway musicals.
-
D.
Moncalvo
Moncalvo is a small historic town in Italy’s Piedmont region, known as one of the country’s smallest cities and for its wine and truffle production.
-
E.
Unzaga
Unzaga is a Spanish surname historically associated with families of Basque origin and notable figures in Spain and Latin America.
- 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_69d6ab2db38c8190b1f0ed6663ef8ada |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90342bb908190a019ac91a2b82f3d |
completed | April 10, 2026, 2:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f471ba7fd88190909596e6e01e8714 |
completed | May 1, 2026, 9:26 a.m. |
Created at: April 8, 2026, 9:45 p.m.