Triple
T20390281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 3 Days to Kill |
E498065
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Connie Nielsen |
—
|
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: Connie Nielsen | Statement: [3 Days to Kill, starring, Connie Nielsen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Connie Nielsen Context triple: [3 Days to Kill, starring, Connie Nielsen]
-
A.
Connie Nielsen
chosen
Connie Nielsen is a Danish actress best known for her roles in films such as "Gladiator" and "Wonder Woman."
-
B.
Jaimie Alexander
Jaimie Alexander is an American actress best known for her role as the Asgardian warrior Lady Sif in the Marvel Cinematic Universe and for starring in the TV series "Blindspot."
-
C.
AnnaSophia Robb
AnnaSophia Robb is an American actress known for her roles in films such as "Soul Surfer" and "Bridge to Terabithia," as well as the TV series "The Carrie Diaries."
-
D.
Kathleen Robertson
Kathleen Robertson is a Canadian actress known for her roles in television series like "Beverly Hills, 90210" and "Boss," as well as various film and genre projects.
-
E.
Thandie Newton
Thandie Newton is a British actress acclaimed for her powerful performances in film and television, including roles in "Crash," "Westworld," and numerous other high-profile productions.
- 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_69e0b4a71ebc8190b153a36c738730f4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6790e65a081909832855758fffd14 |
completed | April 20, 2026, 7:05 p.m. |
Created at: April 16, 2026, 11:28 a.m.