Triple
T8888834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Powers |
E211606
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Michael Powers
Michael Powers is a personal name shared by multiple individuals across various professions, including law, academia, and the arts.
|
E765964
|
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: Michael Powers | Statement: [Powers, hasNotableBearer, Michael Powers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Powers Context triple: [Powers, hasNotableBearer, Michael Powers]
-
A.
Timothy Power
Timothy Power is a name shared by several notable individuals, including academics and professionals in fields such as political science and classical studies.
-
B.
John T. Powers
John T. Powers was an American baseball executive best known for organizing and leading the short-lived Federal League, a rival to Major League Baseball in the 1910s.
-
C.
Brian Power
Brian Power is a personal name shared by multiple individuals, including professionals in fields such as sports, music, and public service.
-
D.
William Powers
William Powers was an architect known for designing the historic Kingston Penitentiary in Ontario, Canada.
-
E.
Ward Poulos
Ward Poulos is an entrepreneur best known as a co-founder of the online employment marketplace ZipRecruiter.
- 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: Michael Powers Triple: [Powers, hasNotableBearer, Michael Powers]
Generated description
Michael Powers is a personal name shared by multiple individuals across various professions, including law, academia, and the arts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michael Powers Target entity description: Michael Powers is a personal name shared by multiple individuals across various professions, including law, academia, and the arts.
-
A.
Timothy Power
Timothy Power is a name shared by several notable individuals, including academics and professionals in fields such as political science and classical studies.
-
B.
John T. Powers
John T. Powers was an American baseball executive best known for organizing and leading the short-lived Federal League, a rival to Major League Baseball in the 1910s.
-
C.
Brian Power
Brian Power is a personal name shared by multiple individuals, including professionals in fields such as sports, music, and public service.
-
D.
William Powers
William Powers was an architect known for designing the historic Kingston Penitentiary in Ontario, Canada.
-
E.
Ward Poulos
Ward Poulos is an entrepreneur best known as a co-founder of the online employment marketplace ZipRecruiter.
- 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_69ca83907954819096d52a245b635841 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc618f94108190b03248832bfe68a9 |
completed | April 1, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfba1b1bec8190ab667a0c5dba3513 |
completed | April 3, 2026, 1:01 p.m. |
| NEDg | Description generation | batch_69cfbbf8ff388190beef5f8f1e6935c6 |
completed | April 3, 2026, 1:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfbc570c28819087bea8058c4b08a9 |
completed | April 3, 2026, 1:10 p.m. |
Created at: March 30, 2026, 6:53 p.m.