Triple
T19046294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marco Silva |
E466139
|
entity |
| Predicate | hasGivenName |
P17
|
FINISHED |
| Object | Marco |
—
|
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: Marco | Statement: [Marco Silva, hasGivenName, Marco]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marco Context triple: [Marco Silva, hasGivenName, Marco]
-
A.
Marco
Marco is a central character in Arthur Miller’s play "A View from the Bridge," depicted as a hardworking Italian immigrant whose fierce sense of family loyalty and justice drives much of the drama’s conflict.
-
B.
Marco
chosen
Marco is the lightweight window manager used by the MATE desktop environment, designed as a continuation of GNOME 2’s Metacity.
-
C.
Marcus
Marcus is a masculine given name of ancient Roman origin that has been widely used across many cultures and historical periods.
-
D.
Largo Magnanapoli
Largo Magnanapoli is a small historic square in central Rome, situated near major thoroughfares and notable landmarks such as the Quirinal Hill.
-
E.
Giulio
Giulio is the given name of Giulio Douhet, an influential early 20th-century Italian air power theorist and general.
- 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_69d8dd040fb881909af2a964f65ad208 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d80466f88190988171920f2be7dc |
completed | April 20, 2026, 7:38 a.m. |
Created at: April 10, 2026, 12:03 p.m.