Triple
T21618372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter Donovan |
E533506
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Peter Donovan |
—
|
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: Peter Donovan | Statement: [Peter Donovan, name, Peter Donovan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Donovan Context triple: [Peter Donovan, name, Peter Donovan]
-
A.
Peter Donovan
chosen
Peter Donovan is the husband of acclaimed American actress and singer Audra McDonald.
-
B.
Joss Ackland
Joss Ackland is a distinguished English actor known for his extensive film, television, and stage career, often portraying authoritative or villainous characters.
-
C.
Bernard Miles
Bernard Miles was an English character actor, writer, and director known for his work in British film and theatre, and for founding the Mermaid Theatre in London.
-
D.
Rupert Davies
Rupert Davies was a British actor best known for his portrayal of Inspector Maigret in the 1960s television series "Maigret."
-
E.
Robert Clark
Robert Clark is the birth name of the American author better known by his pen name, Dan Brown, famed for writing the bestselling thriller "The Da Vinci Code" and other novels in the Numbers series.
- 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_69e0c46411108190bba0d4176dffc9f3 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef3bac4a5c8190919c625c14a54c16 |
completed | April 27, 2026, 10:34 a.m. |
Created at: April 16, 2026, 6:34 p.m.