Triple
T13628720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amanda Warren |
E325655
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Power
Power is a crime drama television series that follows a New York City nightclub owner leading a double life as a powerful drug kingpin.
|
E332601
|
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: Power | Statement: [Amanda Warren, notableWork, Power]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Power Context triple: [Amanda Warren, notableWork, Power]
-
A.
Power
"Power" is a critically acclaimed hip-hop song by Kanye West known for its bombastic production, introspective lyrics, and prominent use of progressive rock and soul samples.
-
B.
Power
Power is an Irish surname historically associated with prominent political and landowning families, particularly in County Waterford and surrounding regions.
-
C.
Power
"Power" is the influential 1988 studio album by rapper Ice-T that helped define early West Coast gangsta rap.
-
D.
Power
Power is the nickname of the Port Adelaide Football Club’s team that competes in the Australian Football League (AFL).
-
E.
Power
"Power" is an ecofeminist novel by Linda Hogan that explores the intertwined struggles of an Indigenous girl, her community, and the natural world in the face of environmental and cultural destruction.
- 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: Power Triple: [Amanda Warren, notableWork, Power]
Generated description
Power is a crime drama television series that follows a New York City nightclub owner leading a double life as a powerful drug kingpin.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Power Target entity description: Power is a crime drama television series that follows a New York City nightclub owner leading a double life as a powerful drug kingpin.
-
A.
Power
chosen
Power is a popular American crime drama television series that follows a New York City nightclub owner leading a double life as a drug kingpin.
-
B.
Power
"Power" is a critically acclaimed hip-hop song by Kanye West known for its bombastic production, introspective lyrics, and prominent use of progressive rock and soul samples.
-
C.
Power
"Power" is the influential 1988 studio album by rapper Ice-T that helped define early West Coast gangsta rap.
-
D.
Power
"Power" is a stage play by British dramatist Nick Dear that dramatizes the rise of Louis XIV and the political intrigues of the French court.
-
E.
Power
Power is a surname most famously associated with American film star Tyrone Power, known for his swashbuckling and romantic leading roles in Hollywood’s Golden Age.
- F. None of above.
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_69d8076beddc8190a53156f5bea77f5e |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbbe9d803481908101def32817b0eb |
completed | April 12, 2026, 3:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f77fa895f081908f72a0746afeabed |
completed | May 3, 2026, 5:02 p.m. |
| NEDg | Description generation | batch_69f78070e95c819088982e26fe2d8e26 |
completed | May 3, 2026, 5:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f78157b9cc8190a1855cb9715aa7d5 |
completed | May 3, 2026, 5:09 p.m. |
Created at: April 9, 2026, 9:51 p.m.