Triple
T12361173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Damages |
E294739
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Rose Byrne |
E262189
|
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: Rose Byrne | Statement: [Damages, starring, Rose Byrne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rose Byrne Context triple: [Damages, starring, Rose Byrne]
-
A.
Rose Byrne
chosen
Rose Byrne is an Australian actress known for her versatile performances in films such as Bridesmaids, Neighbors, and X-Men: First Class, as well as the TV series Damages.
-
B.
May McAvoy
May McAvoy was a prominent American silent film actress best known for her leading roles in the 1920s and her appearance in early sound cinema.
-
C.
Teresa Palmer
Teresa Palmer is an Australian actress known for her roles in films such as "Warm Bodies," "Lights Out," and "Hacksaw Ridge."
-
D.
Kate Hudson
Kate Hudson is an American actress known for her roles in romantic comedies and dramas, including her performance in the 2010 crime film "The Killer Inside Me."
-
E.
Kate Bosworth
Kate Bosworth is an American actress best known for her roles in films such as "Blue Crush" and "Superman Returns."
- 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_69d6ab6d8a4081908636601e69ddf262 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f91a1908190a8a4fa9da3b47933 |
completed | April 10, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62ab9ea4c81908313b11716ad7c43 |
completed | May 2, 2026, 4:47 p.m. |
Created at: April 8, 2026, 9:54 p.m.