Triple
T3240147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Downhill |
E67946
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Miranda Otto |
E48384
|
NE FINISHED |
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: Miranda Otto | Statement: [Downhill, starring, Miranda Otto]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Miranda Otto Context triple: [Downhill, starring, Miranda Otto]
-
A.
Miranda Otto
chosen
Miranda Otto is an Australian actress best known for playing Éowyn in Peter Jackson’s The Lord of the Rings film trilogy.
-
B.
Saskia Reeves
Saskia Reeves is a British actress known for her work in film, television, and theatre, including roles in series such as "Luther" and numerous acclaimed stage productions.
-
C.
Rebecca Ferguson
Rebecca Ferguson is a Swedish actress known for her versatile performances in films such as the Mission: Impossible series, The Greatest Showman, and Dune.
-
D.
Margot Tennant
Margot Tennant, later Margot Asquith, was a prominent British socialite, author, and wit who became the influential second wife of Prime Minister H. H. Asquith.
-
E.
Rosamund Pike
Rosamund Pike is an English actress known for her versatile performances in film and television, including acclaimed roles in movies such as "Gone Girl" and "Pride & Prejudice."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ad858d27348190abb61c280b4c86a9 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaef6430081909084589f6eea5c7e |
completed | March 8, 2026, 5:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b38babb044819098f887ac4fb0bab2 |
completed | March 13, 2026, 3:59 a.m. |
Created at: March 8, 2026, 3:08 p.m.