Triple
T7848332
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ames |
E181977
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Michael Ames
Michael Ames is a personal name shared by multiple individuals, including professionals in fields such as politics, academia, and the arts.
|
E705596
|
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 Ames | Statement: [Ames, hasNotableBearer, Michael Ames]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Ames Context triple: [Ames, hasNotableBearer, Michael Ames]
-
A.
Michael Wells
Michael Wells is a musician best known as a member of the American alternative country/rock band The Walkabouts.
-
B.
Michael Silvers
Michael Silvers is a sound designer known for his work on Pixar’s animated short film "The Blue Umbrella."
-
C.
Ian Meadows
Ian Meadows is an Australian actor and writer known for his work in television, film, and theatre.
-
D.
Michael Greenwood
Michael Greenwood is a member of the Greenwood family, known primarily as a son of British politician Hamar Greenwood, 1st Viscount Greenwood.
-
E.
Steven Amarnick
Steven Amarnick is a literary scholar and editor known for his work on restoring the full text of Anthony Trollope’s novel "The Duke’s Children."
- 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 Ames Triple: [Ames, hasNotableBearer, Michael Ames]
Generated description
Michael Ames is a personal name shared by multiple individuals, including professionals in fields such as politics, academia, and the arts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michael Ames Target entity description: Michael Ames is a personal name shared by multiple individuals, including professionals in fields such as politics, academia, and the arts.
-
A.
Michael Wells
Michael Wells is a musician best known as a member of the American alternative country/rock band The Walkabouts.
-
B.
Michael Silvers
Michael Silvers is a sound designer known for his work on Pixar’s animated short film "The Blue Umbrella."
-
C.
Ian Meadows
Ian Meadows is an Australian actor and writer known for his work in television, film, and theatre.
-
D.
Michael Greenwood
Michael Greenwood is a member of the Greenwood family, known primarily as a son of British politician Hamar Greenwood, 1st Viscount Greenwood.
-
E.
Steven Amarnick
Steven Amarnick is a literary scholar and editor known for his work on restoring the full text of Anthony Trollope’s novel "The Duke’s Children."
- 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_69ca82869ee08190b8f9040dbc2c0467 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb18e7f5988190808ae4dcfbc06991 |
completed | March 31, 2026, 12:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbdf1834b08190ab9fd79387e496a7 |
completed | March 31, 2026, 2:50 p.m. |
| NEDg | Description generation | batch_69cc46bca04481908852425c214a4e34 |
completed | March 31, 2026, 10:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc49129e188190aaebd6a1188788d9 |
completed | March 31, 2026, 10:22 p.m. |
Created at: March 30, 2026, 4:50 p.m.