Triple
T13059186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scorpion |
E329155
|
entity |
| Predicate | hasSingle |
P3282
|
FINISHED |
| Object | Nonstop |
E245495
|
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: Nonstop | Statement: [Scorpion, hasSingle, Nonstop]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nonstop Context triple: [Scorpion, hasSingle, Nonstop]
-
A.
Non-Stop
Non-Stop is a 2014 action-thriller film in which Liam Neeson plays an air marshal trying to stop a mysterious hijacker during a transatlantic flight.
-
B.
Non-Stop
chosen
"Non-Stop" is the fast-paced, act-ending ensemble number from the Broadway musical *Hamilton* that chronicles Alexander Hamilton’s relentless work ethic and rise in early American politics.
-
C.
Unstoppable
Unstoppable is a South Korean action thriller film centered on a former gangster who relentlessly hunts down the criminals who have kidnapped his wife.
-
D.
Unstoppable
Unstoppable is a 2010 American action thriller film directed by Tony Scott about a runaway freight train carrying hazardous materials and the desperate efforts to stop it.
-
E.
Unstoppable
"Unstoppable" is a powerful pop anthem by Sia known for its themes of resilience and self-empowerment, widely used in media and motivational contexts.
- 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_69d80771749c81909a6d9197b9504872 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d980be37208190962e91f1e19df159 |
completed | April 10, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6cbe259408190a7e88482c96f24a9 |
completed | May 3, 2026, 4:15 a.m. |
Created at: April 9, 2026, 8:58 p.m.