Triple
T22094913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Rose |
E545999
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Wild Target |
—
|
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: Wild Target | Statement: [Michael Rose, notableWork, Wild Target]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wild Target Context triple: [Michael Rose, notableWork, Wild Target]
-
A.
Wild Target
chosen
Wild Target is a 2010 British black comedy film about an aging hitman whose life is upended when he protects a quirky young woman, featuring Emily Blunt in a leading role.
-
B.
Zielschuss
Zielschuss is the famously steep and high-speed final section of Kitzbühel’s Hahnenkamm downhill ski race course, where racers reach some of their highest velocities before the finish.
-
C.
Blowing Away
"Blowing Away" is a song featured on the album "Living in the USA" by Linda Ronstadt.
-
D.
Shoot Your Shot
"Shoot Your Shot" is a funk and soul track by James Brown, featured on his influential 1973 album *The Payback*.
-
E.
The Tall Target
The Tall Target is a historical suspense novel by Daniel Fuchs, centered on a plot to assassinate Abraham Lincoln during his train journey to Washington, D.C.
- 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_69e11e36d03c8190a83a1ba802b7231b |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f128e82c1481908701f255b834f192 |
completed | April 28, 2026, 9:38 p.m. |
Created at: April 16, 2026, 8:29 p.m.