Triple
T20975166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cho Yo-han |
E516605
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Columbus (2017 film) |
—
|
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: Columbus (2017 film) | Statement: [Cho Yo-han, notableWork, Columbus (2017 film)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Columbus (2017 film) Context triple: [Cho Yo-han, notableWork, Columbus (2017 film)]
-
A.
Columbus (2017 film)
chosen
Columbus (2017 film) is a contemplative indie drama set in Columbus, Indiana, that explores architecture, family, and emotional distance through the relationship between a young woman and a man visiting his ailing father.
-
B.
Columbus in Zombieland
Columbus in Zombieland is the cautious, rule-obsessed, and socially awkward protagonist and narrator of the horror-comedy film "Zombieland."
-
C.
Hancock
Hancock is a small rural town in western Massachusetts known for its scenic Berkshire landscapes and outdoor recreation.
-
D.
Hancock
Hancock is a British television sitcom starring Tony Hancock that became a landmark of 1950s–60s UK comedy for its character-driven humor and influential writing.
-
E.
Hancock
Hancock is a small city in Michigan’s Upper Peninsula known for its Finnish-American heritage and proximity to Lake Superior.
- 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_69e0b4fee5ac8190875fa9ceba1a5e5e |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fba307d88190b728544d1b6d0bb6 |
completed | April 21, 2026, 4:22 a.m. |
Created at: April 16, 2026, 1:46 p.m.