Triple
T1650880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karen Black |
E35688
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Easy Wheels
Easy Wheels is a 1989 cult comedy film that parodies biker movies through the story of a motorcycle gang of women raised by wolves.
|
E185808
|
NE FINISHED |
How this triple was built (4 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: Easy Wheels | Statement: [Karen Black, notableWork, Easy Wheels]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Easy Wheels Context triple: [Karen Black, notableWork, Easy Wheels]
-
A.
Wheelie
Wheelie is a small, wisecracking Autobot from the Transformers franchise known for his rhyming speech and comic-relief role.
-
B.
Velo
Velo is a nicotine pouch brand owned by British American Tobacco, marketed as a smokeless alternative to traditional cigarettes.
-
C.
Cartwheel
Cartwheel was a major World War II Allied military campaign in the Pacific aimed at isolating and neutralizing the Japanese stronghold of Rabaul through a series of coordinated offensives.
-
D.
Easy Exotic
Easy Exotic is a cookbook by Padma Lakshmi that showcases simple, globally inspired recipes influenced by her multicultural background.
-
E.
EZY
EZY is the ICAO airline designator used for flights operated by the British low-cost carrier easyJet.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Easy Wheels Triple: [Karen Black, notableWork, Easy Wheels]
Generated description
Easy Wheels is a 1989 cult comedy film that parodies biker movies through the story of a motorcycle gang of women raised by wolves.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Easy Wheels Target entity description: Easy Wheels is a 1989 cult comedy film that parodies biker movies through the story of a motorcycle gang of women raised by wolves.
-
A.
Wheelie
Wheelie is a small, wisecracking Autobot from the Transformers franchise known for his rhyming speech and comic-relief role.
-
B.
Velo
Velo is a nicotine pouch brand owned by British American Tobacco, marketed as a smokeless alternative to traditional cigarettes.
-
C.
Cartwheel
Cartwheel was a major World War II Allied military campaign in the Pacific aimed at isolating and neutralizing the Japanese stronghold of Rabaul through a series of coordinated offensives.
-
D.
Easy Exotic
Easy Exotic is a cookbook by Padma Lakshmi that showcases simple, globally inspired recipes influenced by her multicultural background.
-
E.
EZY
EZY is the ICAO airline designator used for flights operated by the British low-cost carrier easyJet.
- F. None of above. chosen
Provenance (5 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_69a8860568888190a32cd9f70acbba42 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a90a67c0308190a502fd9c6c0769bc |
completed | March 5, 2026, 4:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad60a996508190bc227400cb7713ac |
completed | March 8, 2026, 11:42 a.m. |
| NEDg | Description generation | batch_69ad61323b308190b883c4bf2c3ca1bf |
completed | March 8, 2026, 11:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad622d695481909351a9c80f8d646f |
completed | March 8, 2026, 11:49 a.m. |
Created at: March 4, 2026, 7:29 p.m.