Triple
T22212101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andrea Amati |
E548977
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Andrea |
—
|
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: Andrea | Statement: [Andrea Amati, givenName, Andrea]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andrea Context triple: [Andrea Amati, givenName, Andrea]
-
A.
Andrea
chosen
Andrea is a feminine given name of Greek origin meaning "strong" or "brave," commonly used in many languages and cultures.
-
B.
Andrea
"Andrea" is a track from Freddie Gibbs' album "You Only Live 2wice," known for its introspective lyrics and gritty, soulful production.
-
C.
Andrea
Andrea is a character in the drama film "The Man from Elysian Fields," involved in the story’s exploration of relationships, morality, and the escort business.
-
D.
Andrea
Andrea is the given first name of American actress and singer Missi Pyle, known for her roles in films like "Galaxy Quest" and "Dodgeball."
-
E.
Andrea
Andrea is one of the main characters in the Lego Friends franchise, known as a talented, music-loving performer and loyal friend in the Heartlake City setting.
- 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_69e11e3f7e04819089806d81d5ac431e |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12b2c8b608190b0047af4ac91b023 |
completed | April 28, 2026, 9:48 p.m. |
Created at: April 16, 2026, 8:36 p.m.