Triple
T21991873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | One Day |
E543108
|
entity |
| Predicate | leadActor |
P1507
|
FINISHED |
| Object | Jim Sturgess |
—
|
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: Jim Sturgess | Statement: [One Day, leadActor, Jim Sturgess]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jim Sturgess Context triple: [One Day, leadActor, Jim Sturgess]
-
A.
Jim Sturgess
chosen
Jim Sturgess is an English actor and musician known for his leading roles in films such as "Across the Universe" and "Cloud Atlas."
-
B.
Logan Lerman
Logan Lerman is an American actor best known for his lead role in the "Percy Jackson" film series and performances in movies such as "The Perks of Being a Wallflower" and "Fury."
-
C.
Mackenzie Astin
Mackenzie Astin is an American actor known for his roles in film and television, including the TV series "The Facts of Life."
-
D.
Josh Hutcherson
Josh Hutcherson is an American actor best known for his role as Peeta Mellark in "The Hunger Games" film series.
-
E.
David Mazouz
David Mazouz is an American actor best known for portraying young Bruce Wayne on the television series "Gotham."
- 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_69e0c48136b081908831fa907cc02e18 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1270e951081908deda039b47ca84b |
completed | April 28, 2026, 9:30 p.m. |
Created at: April 16, 2026, 8:05 p.m.