Triple
T14809524
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carmine Giovinazzo |
E348135
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Carmine |
E317517
|
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: Carmine | Statement: [Carmine Giovinazzo, givenName, Carmine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carmine Context triple: [Carmine Giovinazzo, givenName, Carmine]
-
A.
Carmine
chosen
Carmine is a given name, often used in Italian and English-speaking contexts, that is related to the name Carmelo.
-
B.
Crimson
Crimson is the collective name for Harvard University's varsity athletic teams competing in collegiate sports.
-
C.
Rosso
Rosso is the commonly used name of Rosso Fiorentino, a prominent Italian Mannerist painter of the early 16th century known for his expressive, unconventional style.
-
D.
Virgin red
Virgin red is the distinctive, vibrant shade of red used across the Virgin brand’s visual identity to convey energy, boldness, and recognition.
-
E.
Magenta
Magenta is a coastal suburb on the Central Coast of New South Wales, Australia, known for its beaches, golf resort, and proximity to Tuggerah Lake.
- 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_69d822ea8b7c819097dfadf3d45545e6 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decf35a5e081909321193ef37099d1 |
completed | April 14, 2026, 11:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe24ca88748190ae9e66bac5324e25 |
completed | May 8, 2026, 6 p.m. |
Created at: April 10, 2026, 1:45 a.m.