Triple
T4102373
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael William Balfe |
E87969
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Michael William
Michael William is the given name of Michael William Balfe, a 19th-century Irish composer best known for his operas such as "The Bohemian Girl."
|
E413789
|
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 William | Statement: [Michael William Balfe, givenName, Michael William]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael William Context triple: [Michael William Balfe, givenName, Michael William]
-
A.
Michael Stephen
Michael Stephen is a physicist best known for co-developing the influential Bardeen–Stephen model that describes flux flow in type-II superconductors.
-
B.
Micheal
Micheal is a given name, typically a variant spelling of the more common name Michael.
-
C.
Michael David
Michael David is an actor known for his role in the classic 1958 film "The Inn of the Sixth Happiness."
-
D.
Michaël
Michaël is a given name, typically a French or Dutch variant of the name Michael, used for males in various European countries.
-
E.
Michael Evans
Michael Evans is a smart, socially conscious teenage son in the 1970s sitcom "Good Times," often serving as the show's outspoken voice on political and racial issues.
- 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 William Triple: [Michael William Balfe, givenName, Michael William]
Generated description
Michael William is the given name of Michael William Balfe, a 19th-century Irish composer best known for his operas such as "The Bohemian Girl."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michael William Target entity description: Michael William is the given name of Michael William Balfe, a 19th-century Irish composer best known for his operas such as "The Bohemian Girl."
-
A.
Michael Stephen
Michael Stephen is a physicist best known for co-developing the influential Bardeen–Stephen model that describes flux flow in type-II superconductors.
-
B.
Micheal
Micheal is a given name, typically a variant spelling of the more common name Michael.
-
C.
Michael David
Michael David is an actor known for his role in the classic 1958 film "The Inn of the Sixth Happiness."
-
D.
Michaël
Michaël is a given name, typically a French or Dutch variant of the name Michael, used for males in various European countries.
-
E.
Michael Evans
Michael Evans is a smart, socially conscious teenage son in the 1970s sitcom "Good Times," often serving as the show's outspoken voice on political and racial issues.
- 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_69aed94564cc8190a9c1457daedb6e7f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefd1012208190ab0980c661d6bc41 |
completed | March 9, 2026, 5:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b56b7a917c8190914a5ffe1297fdc8 |
completed | March 14, 2026, 2:06 p.m. |
| NEDg | Description generation | batch_69b56cbf12348190836f79e509468a3d |
completed | March 14, 2026, 2:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b570aef9008190bf8ef2deb00178ae |
completed | March 14, 2026, 2:29 p.m. |
Created at: March 9, 2026, 3:40 p.m.