Triple
T20360779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Rainbow (1989 film) |
E496772
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Amanda Donohoe |
—
|
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: Amanda Donohoe | Statement: [The Rainbow (1989 film), starring, Amanda Donohoe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amanda Donohoe Context triple: [The Rainbow (1989 film), starring, Amanda Donohoe]
-
A.
Amanda Donohoe
chosen
Amanda Donohoe is a British actress known for her work in film, television, and theatre, including prominent roles in both UK and American productions.
-
B.
Amanda Naughton
Amanda Naughton is an American actress best known for her starring role on the 1990s television series "Remember WENN."
-
C.
Emily Donahoe
Emily Donahoe is an American actress and producer known for her work in theater, film, and television.
-
D.
Nicole O’Donohue
Nicole O’Donohue is an Australian film producer known for her work on acclaimed independent features such as "The Daughter."
-
E.
Caitlin Leahy
Caitlin Leahy is an American actress and model known for her roles in film and television, including appearances in action and drama projects.
- 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_69e0b4a3f7f48190b37f354574028ca6 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e678584294819093788ccf2fb8e588 |
completed | April 20, 2026, 7:02 p.m. |
Created at: April 16, 2026, 11:25 a.m.