Triple
T23121969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Antonia Collett |
E576917
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Collett |
—
|
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: Collett | Statement: [Antonia Collett, familyName, Collett]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Collett Context triple: [Antonia Collett, familyName, Collett]
-
A.
Collett
chosen
Collett is the surname of Australian actress and producer Toni Collette, known for her versatile performances in film, television, and theatre.
-
B.
Colletti
Colletti is an Italian surname borne by various notable individuals, including figures in philosophy, politics, and the arts.
-
C.
Colet
Colet is a surname most notably associated with Dame Christian Colet and other members of the Colet family.
-
D.
Corlett
Corlett is a surname most notably associated with Charles H. Corlett, a U.S. Army general who served during World War II.
-
E.
Collen
Collen is a surname most notably associated with Nicki Collen, an American basketball coach.
- 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_69e245f6c2e881909a228fdcfeb7c7d3 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18e50c500819095d59aef44388153 |
completed | April 29, 2026, 4:51 a.m. |
Created at: April 17, 2026, 3:59 p.m.