Triple
T9196414
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stephen Power |
E220723
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object | Power |
E774229
|
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: Power | Statement: [Stephen Power, hasComponent, Power]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Power Context triple: [Stephen Power, hasComponent, 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
chosen
Power is an Irish surname historically associated with prominent political and landowning families, particularly in County Waterford and surrounding regions.
-
C.
Power
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.
-
D.
Power
"Power" is a contemporary classical composition by American composer John Stevens, known for its bold, energetic writing and prominent use of brass.
-
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.
- 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_69ca83e7ba70819088b74866d9da2c30 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccd87d6460819097234b5dd3f749b4 |
completed | April 1, 2026, 8:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d178be71188190bb9bdb719dd4d12d |
completed | April 4, 2026, 8:46 p.m. |
Created at: March 30, 2026, 7:25 p.m.