Triple
T22453587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giulia Gwinn |
E555053
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Giulia Gwinn |
—
|
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: Giulia Gwinn | Statement: [Giulia Gwinn, name, Giulia Gwinn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Giulia Gwinn Context triple: [Giulia Gwinn, name, Giulia Gwinn]
-
A.
Giulia Gwinn
chosen
Giulia Gwinn is a German professional footballer known as one of the most promising young talents in women’s soccer, playing primarily as a midfielder or full-back for club and country.
-
B.
Justine Ciarrocchi
Justine Ciarrocchi is a film producer known for her work on contemporary American comedies such as "No Hard Feelings."
-
C.
Julia DeMato
Julia DeMato is an American singer and former cosmetologist best known for competing as a finalist on the second season of the television show American Idol.
-
D.
Sophia Petrillo
Sophia Petrillo is the sharp-tongued, witty Sicilian matriarch from the sitcom "The Golden Girls," known for her blunt humor and memorable one-liners.
-
E.
Gabrielle Glore
Gabrielle Glore is a film producer best known for her work on the romantic drama "Sylvie’s Love."
- 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_69e11e5113208190ab58c6b595f9d1d0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15b4d6368819082cafbbd83339fbf |
completed | April 29, 2026, 1:13 a.m. |
Created at: April 16, 2026, 8:48 p.m.